Yared Worku | Agricultural and Biological Sciences | Editorial Board Member

Editorial Board Member

Yared Worku
Bahir Dar University

Yared Worku
Affiliation Bahir Dar University
Country Ethiopia
Scopus ID 60412228300
Documents 5
Citations 7
h-index 2
Subject area Agricultural and Biological Sciences
Event International Invention Awards

Yared Worku is a researcher affiliated with Bahir Dar University in Ethiopia, with a subject-area profile associated with Agricultural and Biological Sciences. The available bibliometric information lists five documents, seven citations, and an h-index of two in Scopus. These indicators provide a limited quantitative overview of indexed research output and citation activity. This article presents the supplied researcher information in the context of editorial service and academic recognition associated with the International Invention Awards. The information should be interpreted alongside verified institutional records, published research, and the scope of any confirmed editorial appointment. [1]

Abstract

Yared Worku is affiliated with Bahir Dar University, Ethiopia, and is associated in the supplied researcher profile with Agricultural and Biological Sciences. The reported Scopus indicators comprise five documents, seven citations, and an h-index of two. These metrics offer a concise snapshot of indexed scholarly activity but do not independently establish research quality, editorial competence, or the breadth of academic contributions. This article organizes the available profile information and discusses its relevance to research communication, publication records, and recognition through the International Invention Awards. Verification of appointment details, individual publications, and research achievements remains important for a complete and balanced academic assessment. [1]

Keywords

Yared Worku; Bahir Dar University; Ethiopia; Agricultural and Biological Sciences; research profile; bibliometrics; Scopus author profile; scholarly publications; citation analysis; editorial board; academic recognition; International Invention Awards.[2]

Introduction

Academic researcher profiles help readers identify institutional affiliations, discover scholarly publications, and examine citation records. Editorial board service, by contrast, involves responsibilities such as evaluating manuscripts, supporting publication standards, and contributing subject expertise. Bibliometric indicators can provide useful background, but they should not be treated as substitutes for documented editorial experience or a detailed review of a researcher’s work. The available information identifies Yared Worku with Bahir Dar University and the Agricultural and Biological Sciences subject area. Further assessment should rely on verified publications, relevant expertise, and confirmation of any formal editorial role. [1]

Research Profile

The supplied profile associates Yared Worku with Bahir Dar University in Ethiopia. The stated subject area is Agricultural and Biological Sciences, a broad research classification encompassing topics related to agriculture, biological systems, and their applications. The Scopus author identifier provided for this profile is 60412228300, while the supplied ORCID identifier is 0000-0002-8977-5309. These identifiers support record discovery and author disambiguation, although the relationship between profiles and the accuracy of individual records should be checked against the underlying sources. [1]

Research Contributions

The supplied bibliometric summary records five documents attributed to the Scopus profile. However, document counts alone do not identify the research questions addressed, the methods applied, or the practical outcomes of the work. A substantive account of research contributions requires examination of individual publications, their stated objectives, methodological quality, findings, and relevance to the field. In the absence of verified publication titles and abstracts in the provided information, specific discoveries or innovations cannot be reliably attributed to the researcher. The profile therefore provides a starting point for further scholarly review rather than a complete account of research achievements.[2]

Publications

The supplied Scopus information reports five documents and seven citations. The individual titles, publication years, journal names, author lists, and digital object identifiers have not been provided here, so a verified publication bibliography cannot be reproduced without risking inaccurate attribution. The Scopus author record is the appropriate starting point for reviewing indexed documents and their available metadata. Where possible, publication details should also be cross-checked against publisher pages and persistent identifiers, including DOI records, to distinguish confirmed publications from similarly named works. [1]

Research Impact

The reported seven citations and h-index of two offer limited quantitative measures of the indexed scholarly activity associated with the supplied Scopus profile. The h-index reflects a relationship between publication output and citation counts, while total citations indicate how often indexed work has been cited within the relevant database. These measures can vary across databases and over time, and they do not directly assess originality, methodological rigor, practical value, or societal benefit. A balanced assessment should consider the content of the research, disciplinary citation patterns, publication context, and evidence of application or influence. [2]

Award Suitability

The International Invention Awards provides the recognition context specified for this profile. Evaluating suitability for an award or an editorial board role requires criteria appropriate to the particular category. Relevant considerations may include documented research achievements, subject-matter expertise, publication quality, professional service, and evidence of contributions to research or innovation. The supplied Scopus metrics and institutional affiliation can support preliminary identification, but they do not by themselves establish eligibility, selection, or appointment. Any claim of confirmed award status or formal editorial board membership should be supported by an official record from the responsible organization. [3]

Conclusion

The available information identifies Yared Worku as a researcher affiliated with Bahir Dar University in Ethiopia, with a stated subject area of Agricultural and Biological Sciences. The supplied Scopus summary reports five documents, seven citations, and an h-index of two. These details provide a concise starting point for examining the research profile, but a fuller scholarly assessment requires verified publication records and contextual evidence of research contributions. Claims concerning editorial appointments, awards, or specific innovations should be confirmed through authoritative institutional or organizational sources to ensure that the published profile remains accurate and transparent.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Yared Worku, Author ID 60412228300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60412228300
  2. Journal Articel. (2026. ).Predicting habitat suitability of pollution-sensitive macroinvertebrates under climate change using climate and land use predictors in Ethiopia: an ensemble modeling approach.
    https://doi.org/10.1186/s13717-026-00712-6
  3. International Invention Awards. (2026. ). Official website.
    https://inventionawards.org/

Yun Dai | Medicine and Dentistry | Best Researcher Award

Best Researcher Award

Yun Dai
Chengdu University of Traditional Chinese Medicine

Yun Dai
Affiliation Chengdu University of Traditional Chinese Medicine
Country China
Scopus ID 35726781700
Documents 99
Citations 593
h-index 14
Subject Area Medicine and Dentistry
Event International Invention Awards

Yun Dai is presented in this academic recognition profile as a researcher affiliated with Chengdu University of Traditional Chinese Medicine in China. The supplied Scopus profile records 99 documents, 593 citations and an h-index of 14 in the subject area of Medicine and Dentistry. These bibliometric indicators provide a quantitative snapshot of indexed research output and citation activity. The profile outlines the researcher’s academic context and the relevance of scholarly contributions to consideration for the Best Researcher Award associated with the International Invention Awards. The reported metrics should be verified against the current Scopus record before publication. [1]

Abstract

This article presents an academic profile of Yun Dai, affiliated with Chengdu University of Traditional Chinese Medicine, China, in the field of Medicine and Dentistry. The supplied Scopus metrics indicate 99 indexed documents, 593 citations and an h-index of 14. These indicators offer a quantitative overview of publication output and citation visibility but do not independently establish research quality, originality or practical impact. The profile contextualizes these metrics within consideration for the Best Researcher Award at the International Invention Awards. Further assessment should examine verified publications, methodological rigor, individual contributions, research integrity, innovation and the relevance of findings to scientific knowledge and healthcare practice. [1]

Keywords

Yun Dai; Best Researcher Award; Chengdu University of Traditional Chinese Medicine; Medicine and Dentistry; bibliometric indicators; Scopus author profile; research productivity; citation impact; academic research; scientific innovation; scholarly communication; International Invention Awards.[1]

Introduction

Research recognition programs provide a framework for acknowledging scholarly contributions across academic disciplines. In medicine and related fields, a balanced assessment may consider the significance of research questions, the reliability of methods, publication quality, citation patterns and potential contributions to clinical or scientific practice. Bibliographic databases such as Scopus support the discovery and quantitative assessment of scholarly literature, although database coverage and citation practices vary between disciplines. [1]

Research Profile

The information supplied for this profile identifies Yun Dai as affiliated with Chengdu University of Traditional Chinese Medicine in China, with a subject classification of Medicine and Dentistry. The associated Scopus Author ID is 35726781700. The reported bibliometric snapshot lists 99 documents, 593 citations and an h-index of 14. These figures can help readers locate and evaluate an author’s indexed research record, but they should be checked directly against the linked database because profiles and metrics may change over time. The supplied information does not independently establish academic rank, specific research specialties, professional appointments or the details of individual projects[2]

Research Contributions

Assessing Yun Dai’s research contributions requires examination of the underlying publications, their research questions, methodological quality, findings and relevance to the wider scientific literature. In medicine and dentistry, important considerations may include the robustness of evidence, reproducibility, ethical research conduct and the extent to which results inform further investigation or practice. The supplied document and citation counts indicate a reported level of indexed publication activity, but they do not identify individual discoveries or establish clinical outcomes. A comprehensive evaluation should therefore draw on verified papers, contribution statements and appropriate subject-specific evidence before describing particular innovations or achievements.[3]

Publications

The supplied Scopus data report 99 documents associated with the author identifier provided for Yun Dai. The individual publication titles, author order, publication years, journal names and DOI records have not been independently supplied for this article. Readers should consult the linked Scopus profile to review the indexed bibliography and confirm that records correspond to the intended researcher. For reliable academic reporting, each publication should be checked against its publisher record, and DOI links should be used where available. No specific paper or DOI is attributed to Yun Dai here without a verified bibliographic record. [1]

Research Impact

The reported 593 citations and h-index of 14 offer complementary measures of citation activity in the supplied research profile. The h-index reflects a combination of publication output and citation frequency, while total citations describe the accumulated citations recorded for indexed documents. Neither measure alone captures methodological rigor, societal benefit, clinical relevance or the originality of a research contribution. Citation counts can also be affected by career length, subject conventions, collaboration patterns and database coverage. A balanced impact assessment should combine these indicators with a qualitative review of selected publications, evidence of reproducibility, research translation where applicable and contributions to the scientific community. [2]

Award Suitability

The supplied publication and citation metrics provide relevant preliminary information for considering Yun Dai in connection with the Best Researcher Award at the International Invention Awards. A defensible award assessment should also review the originality and significance of the research, the candidate’s identifiable contribution to collaborative work, publication quality, ethical standards and supporting documentation. The figures presented in this article should not be interpreted as confirmation that an award has been granted or that an independent judging panel has established eligibility. Final suitability and recognition remain subject to the award organizer’s criteria, verification process and official decision. [3]

Conclusion

Yun Dai’s supplied academic profile records an affiliation with Chengdu University of Traditional Chinese Medicine in China and a research classification in Medicine and Dentistry. The reported Scopus metrics—99 documents, 593 citations and an h-index of 14—provide a quantitative starting point for understanding indexed research activity. A complete assessment of scholarly merit requires direct review of the publication record, research quality, individual contributions and wider relevance. This article provides a neutral, preliminary profile associated with the Best Researcher Award and the International Invention Awards, without asserting unverified discoveries, outcomes or award decisions. Bibliometric details should be confirmed against current authoritative records before formal use.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yun Dai, Author ID 35726781700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35726781700
  2. Journal Article. (2026. ). Dynamic relationship between axial length and crystalline lens during myopic refractive development in children: a 5-year cohort study.
    https://doi.org/10.1038/s41433-026-04538-6
  3. National Library of Medicine. (2026. ) Effect of Chromatic Aberration on White-Light Contrast Sensitivity With Higher-Order Monochromatic Aberrations Correction in the Human Eye in Screen-Based Vision.
    https://doi.org/10.1167/tvst.15.3.17
  4. Research article. (2026. ) The influence of magnification correction on macular retinal/choroidal thickness and vessel density measurements using optical coherence tomography angiography in 4–17-year-old students.
    https://doi.org/10.1016/j.pdpdt.2026.105625
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Mengli Sui | Engineering | Best Researcher Award

Best Researcher Award

Mengli Sui
Researcher affiliated with the Chinese University of Hong Kong

Mengli Sui
Affiliation Chinese University of Hong Kong
Country China
Scopus ID 58640542100
Documents 10
Citations 128
h-index 3
Subject Area Engineering
Event International Invention Awards
ORCID 0000-0001-9811-5292

Mengli Sui is presented in this academic recognition profile as a researcher affiliated with the Chinese University of Hong Kong, with engineering identified as the relevant subject area. The profile brings together the researcher information supplied for the Best Researcher Award in connection with the International Invention Awards. Bibliographic indicators, including publication count, citations, and h-index, are included as reported figures and should be interpreted in the context of the relevant database and the date of retrieval. The information provides a structured starting point for reviewing research activity, publication records, and potential contributions to engineering. [1]

Abstract

This profile presents Mengli Sui in the context of the Best Researcher Award associated with the International Invention Awards. The supplied information identifies an affiliation with the Chinese University of Hong Kong, China, and a research subject area of engineering. The reported bibliometric indicators comprise ten documents, 128 citations, and an h-index of three. These indicators provide an initial quantitative description of the research record but do not independently establish research quality, originality, or practical significance. A comprehensive assessment should consider verified publications, methodological contributions, citation context, collaboration, reproducibility, and evidence of engineering applications. The profile supports further scholarly evaluation and transparent recognition.[1]

Keywords

Mengli Sui; Best Researcher Award; engineering research; Chinese University of Hong Kong; bibliometric analysis; research publications; citation impact; h-index; academic recognition; International Invention Awards.

Introduction

Academic recognition provides an opportunity to highlight research activity, scientific communication, and contributions to the development of knowledge. In engineering, research can encompass the design, analysis, testing, and improvement of systems, materials, processes, and technologies. Evaluating a researcher requires consideration of the relevance and quality of their work alongside quantitative indicators. Database records can help establish a publication history, although author disambiguation, coverage, and update frequency may affect the reported results. Accordingly, the information presented here should be considered a preliminary profile rather than an independently verified account of every research achievement. [1] [2]

Research Profile

The supplied profile associates Mengli Sui with the Chinese University of Hong Kong and identifies engineering as the subject area. The Scopus author identifier provided for the profile is 58640542100, while the supplied ORCID identifier is 0000-0001-9811-5292. These identifiers can assist readers in locating scholarly records and distinguishing researchers with similar names. Institutional affiliation, publication attribution, and author identity should nevertheless be confirmed against the corresponding official records before the information is used for formal evaluation, institutional reporting, or award documentation. [1] [3]

Research Contributions

Research contributions in engineering may include the development of new designs, improvements to existing technologies, analytical methods, experimental findings, computational models, and solutions to practical technical challenges. Determining the specific contributions attributable to an individual requires examination of their publications, stated research objectives, methods, results, and role in collaborative projects. The supplied information does not identify particular papers, patents, inventions, or engineering applications by Mengli Sui. Consequently, no specific discovery or technical achievement is attributed here without supporting evidence. A detailed assessment would benefit from verified publication records and descriptions of documented research outcomes.[1]

Publications

The supplied bibliometric information reports ten documents associated with the researcher. The individual publication titles, author lists, publication dates, journal details, and digital object identifiers have not been provided for independent confirmation. The Scopus author profile is therefore the principal starting point for reviewing the indexed document record. A rigorous publication assessment should verify each relevant work, distinguish original research from reviews and other document types, and confirm the researcher’s authorship. Where available, DOI links and publisher records can support accurate identification and help readers locate the original scholarly material. [1]

Research Impact

The supplied profile reports 128 citations and an h-index of three. Citation counts indicate how often indexed works have been cited within a particular database and at a particular time, while the h-index combines publication productivity with citation frequency. Neither measure directly captures every dimension of research quality, societal benefit, innovation, or technical usefulness. Citation patterns vary across disciplines, publication types, and career stages, and database coverage may differ. These indicators should therefore be interpreted alongside the content and originality of the research, evidence of practical application, collaboration, and other relevant scholarly outcomes. [2] [4]

Award Suitability

The Best Researcher Award profile places the researcher within an academic recognition context associated with the International Invention Awards. The reported engineering affiliation and bibliometric indicators may provide useful starting points for a review. However, award suitability cannot be established from publication and citation figures alone. A balanced evaluation should examine verified scholarly output, originality, individual contributions, research integrity, documented influence, and relevance to the award’s published eligibility and assessment criteria. The information available for this profile is insufficient to confirm a final selection decision or independently establish that all award requirements have been met.[2]

Conclusion

This article consolidates the supplied academic profile information for Mengli Sui, including the stated institutional affiliation, engineering subject area, researcher identifiers, and bibliometric indicators. The reported figures provide a concise overview of the record as supplied, but they should be checked against current authoritative databases before formal publication or use in an award assessment. A more comprehensive evaluation would incorporate verified publications, specific engineering contributions, research methods, evidence of impact, and documented professional achievements. Maintaining clear distinctions between supplied information and independently verified evidence supports accurate academic communication and transparent recognition

References

  1. Elsevier. (n.d.). Scopus author details: Mengli Sui, Author ID 58640542100.
    https://www.scopus.com/authid/detail.uri?authorId=58640542100
  2. Article (2026).Finger-level tactile intelligence toward robotic dexterous operation via afferent encoding and neuronal multiplexing.
    https://doi.org/10.21203/rs.3.rs-8222318/v1
  3. ORCID. (n.d.). ORCID researcher identifier and profile.
    https://orcid.org/0000-0001-9811-5292
  4. Journal article (2023. ). A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills.
    https://doi.org/10.1038/s42256-023-00728-z
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Yahong Wang | Machine Learning | Best Researcher Award

Best Researcher Award

Yahong Wang
Beijing Institute of Technology, Zhuhai

Yahong Wang
Affiliation Beijing Institute of Technology, Zhuhai
Country China
Scopus ID 57769520100
Documents 10
Citations 17
h-index 3
Subject area Machine Learning
Event International Invention Awards
ORCID 0009-0000-4921-7815

The Best Researcher Award recognizes research contributions, scholarly activity, and the advancement of knowledge across scientific and technological disciplines. This article presents the available profile information for Yahong Wang, affiliated with Beijing Institute of Technology, Zhuhai, China, with machine learning identified as the relevant subject area. The profile includes supplied bibliometric indicators and links to researcher identification and publication databases. These details provide a starting point for understanding the researcher’s academic record; individual publications, their subject-specific contributions, and the significance of the reported metrics require assessment against the corresponding source records. [1] [2]

Abstract

This article outlines the academic profile of Yahong Wang, affiliated with Beijing Institute of Technology, Zhuhai, China, whose listed research subject is machine learning. The supplied profile reports ten documents, seventeen citations, and an h-index of three. These bibliometric indicators offer a limited overview of indexed scholarly activity and should be interpreted alongside publication quality, research originality, methodological rigor, and relevance to the field. The profile is presented in the context of the Best Researcher Award associated with the International Invention Awards. Independent verification of publication records, institutional affiliation, research contributions, and award selection is necessary before drawing definitive conclusions about eligibility or achievement.[2]

Keywords

Yahong Wang; Best Researcher Award; machine learning; artificial intelligence; academic research; bibliometrics; scholarly publications; research impact; Beijing Institute of Technology, Zhuhai; International Invention Awards.[1]

Introduction

Machine learning is a branch of artificial intelligence concerned with computational methods that identify patterns in data and support prediction, classification, and decision-making. Its applications span scientific research, engineering, information processing, and other technical domains. Researchers working in this area may contribute through algorithm development, experimental evaluation, theoretical analysis, or practical implementations. The assessment of such work requires examination of original publications and their documented findings rather than reliance on profile indicators alone. [3]

Research Profile

The supplied information identifies Yahong Wang as affiliated with Beijing Institute of Technology, Zhuhai, in China. Machine learning is listed as the relevant subject area, and the supplied Scopus author identifier is 57769520100. The reported profile metrics comprise ten documents, seventeen citations, and an h-index of three. These figures are presented as provided and have not been independently verified here. Scopus author records and ORCID profiles can help distinguish researcher identities and examine associated scholarly outputs. [1] [2]

Research Contributions

Research contributions in machine learning may include new computational methods, improvements to existing algorithms, carefully designed experiments, novel applications, and evaluations of model performance. Establishing Yahong Wang’s specific contributions requires examination of the researcher’s publications, abstracts, methods, results, and documented role in each work. The available profile information does not identify individual discoveries or demonstrate particular technical achievements; therefore, no specific invention, algorithm, or research outcome is attributed to the researcher in this article[3]

Publications

The supplied profile lists ten documents associated with Scopus author identifier 57769520100. A complete publication assessment should confirm each record’s title, authorship, publication venue, publication date, DOI, and current indexing status. Where available, the publisher’s official article page and DOI metadata can provide reliable bibliographic details. Since individual publication titles and DOI identifiers have not been supplied, this section does not attribute specific papers or research findings to Yahong Wang. [1] [4]

Research Impact

The supplied bibliometric figures report seventeen citations and an h-index of three. Citation counts can indicate that published work has been referenced by other scholarly outputs, while the h-index combines publication productivity and citation frequency into a single indicator. Neither measure independently establishes originality, methodological quality, practical significance, or broader societal benefit. Citation totals may also differ between databases and change over time. A fair assessment should therefore combine verified bibliometric information with qualitative examination of the researcher’s contributions and their relevance to machine learning. [5]

Award Suitability

Yahong Wang’s stated research area and supplied academic profile provide an initial basis for reviewing suitability for the Best Researcher Award associated with the International Invention Awards. A formal decision would require confirmation of the researcher’s identity and affiliation, verification of publications, assessment of original contributions, and application of the award’s official eligibility and evaluation criteria. The information presented here is descriptive and does not establish nomination status, selection, or receipt of the award. Final recognition should be based on documented evidence and the event organizer’s confirmed decision.[1]

Conclusion

The available information presents Yahong Wang as a researcher affiliated with Beijing Institute of Technology, Zhuhai, China, with machine learning identified as the subject area. The reported bibliometric indicators provide a preliminary snapshot of indexed scholarly activity but do not, by themselves, establish research quality or award eligibility. A comprehensive academic assessment should incorporate verified publications, original contributions, methodological rigor, and evidence of research impact. Any final statement concerning Best Researcher Award recognition should be supported by confirmation from the International Invention Awards and its official evaluation process.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Yahong Wang, Author ID 57769520100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57769520100
  2. ORCID. (n.d.). Yahong Wang — researcher identifier 0009-0000-4921-7815. ORCID
    https://orcid.org/0009-0000-4921-7815
  3. Journal article. (2024. ). Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN.
    https://doi.org/10.3390/fractalfract8020091
  4. Research article. (2026.) ELD-YOLO: An explainable edge-deployable intelligent framework for low-contrast radiographic weld defect inspection.
    https://doi.org/10.1016/j.measurement.2026.123379
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Hui Shen | Nanoclusters | Innovative Research Award

Innovative Research Award

Hui Shen
Inner Mongolia University

Hui Shen
Affiliation Inner Mongolia University
Country China
Works 2
Citations 30
Subject area Nanoclusters
Event International Invention Awards
ORCID 0000-0003-4800-437X

The Innovative Research Award recognizes research contributions that demonstrate originality, scientific rigor, and potential to advance knowledge within a relevant discipline. This profile presents Hui Shen, affiliated with Inner Mongolia University in China, in the context of research relating to nanoclusters. The supplied profile information reports two research works and 30 citations. These figures provide a preliminary overview of reported scholarly activity but do not independently establish research quality, originality, or award eligibility. The profile is intended to support academic recognition and should be supplemented with verified publication records, institutional information, and evidence of individual research contributions before a formal assessment is completed.[1]

Abstract

This article presents an academic recognition profile for Hui Shen of Inner Mongolia University, China, in connection with the Innovative Research Award and the subject area of nanoclusters. The supplied information identifies two research works and 30 citations, offering an initial indication of scholarly output and citation activity. Nanocluster research encompasses the investigation of nanoscale assemblies, their structures, properties, and potential scientific applications. A comprehensive assessment of research achievement requires examination of verified publications, methodological contributions, originality, reproducibility, and relevance to the wider scientific community. This profile provides a structured overview while distinguishing supplied information from details requiring independent verification before formal recognition.[2]

Keywords

Innovative Research Award, Hui Shen, nanoclusters, nanoscience, nanomaterials, materials chemistry, scientific innovation, research evaluation, scholarly publications, citation analysis, Inner Mongolia University, academic recognition.[1]

Introduction

Research recognition provides a framework for evaluating scientific contributions, encouraging originality, and communicating scholarly achievements. In nanoscience, nanoclusters are studied for their size-dependent structural, electronic, optical, and chemical properties. Their investigation can contribute to the development of fundamental models and potential applications in catalysis, sensing, and advanced materials. Assessment of a researcher’s achievements should consider the significance and reliability of individual studies alongside publication and citation indicators. General background on nanomaterials can be consulted through established scientific literature and research databases. [1] [2]

Research Profile

Hui Shen is identified in the supplied information as being affiliated with Inner Mongolia University in China. The stated research subject is nanoclusters, a field that intersects nanoscience, chemistry, and materials research. The profile reports two works and 30 citations; however, individual publication titles, publication dates, co-authors, journal information, and citation database records have not been supplied for this article. The researcher’s ORCID identifier provides a persistent link for examining available scholarly records and distinguishing works associated with the profile. [3]

Research Contributions

The potential significance of research involving nanoclusters depends on the scientific question addressed, the reliability of the experimental or computational methods, and the extent to which findings improve understanding of nanoscale systems. Contributions may include structural characterization, theoretical modelling, investigations of surface chemistry, or evaluation of functional properties. No specific study titles or experimental findings have been provided for Hui Shen in the supplied material. Consequently, individual discoveries cannot be attributed to the researcher without examining the relevant papers, author contributions, and supporting evidence. [1] [2]

Publications

The supplied profile reports two research works. Their bibliographic details have not been independently established for this article, so specific paper titles, journal names, publication years, and digital object identifiers are not listed. A complete publication record should be checked against the researcher’s ORCID profile and, where available, authoritative bibliographic databases. Each work should be evaluated for publication status, author order, relevance to nanoclusters, and the nature of the researcher’s contribution. DOI records can help identify published articles and provide persistent access to their bibliographic metadata. [3] [4]

Research Impact

The reported total of 30 citations offers a preliminary indicator of the attention received by the researcher’s work. Citation counts vary across databases and over time, and they may be influenced by publication age, subject area, co-authorship, and citation practices. They should therefore be interpreted alongside the quality, originality, reproducibility, and relevance of individual studies. The h-index has not been provided and should not be inferred from the total number of citations alone. A robust impact assessment requires dated database records and examination of the context in which publications have been cited. [4]

Award Suitability

The Innovative Research Award is relevant in principle to researchers whose work demonstrates originality, methodological strength, and a meaningful contribution to their field. Hui Shen’s reported affiliation and nanocluster subject area provide a starting point for reviewing alignment with a research-focused award. Nevertheless, the information currently available is insufficient to establish a final eligibility or selection decision. A fair evaluation should verify the researcher’s identity and institutional affiliation, review the two reported works, examine their individual scientific contributions, and assess supporting evidence against the award’s published criteria. Citation metrics should remain supplementary rather than decisive evidence.[2]

Conclusion

This profile summarizes the supplied academic information for Hui Shen of Inner Mongolia University, China, with a research focus identified as nanoclusters. The reported two works and 30 citations offer an initial description of scholarly activity but do not independently establish the originality, quality, or impact of the research. Further verification of publication records, author contributions, institutional affiliation, and relevant award criteria is necessary before reaching a formal conclusion about award suitability. The ORCID profile and official award website provide starting points for additional information and verification.[4]

References

  1. ORCID. (n.d.). Hui Shen — Researcher identifier and linked research records. ORCID.
    https://orcid.org/0000-0003-4800-437X
  2. Journal article (2025. ) Eight-electron Pt/Cu superatom encapsulating three “electron-donating” hydrides.
    https://doi.org/10.1126/sciadv.ads4488
  3. Journal article (2025. )Ligand Strategies for Regulating Atomically Precise CeO2 Nanoparticles: From Structure to Property.
    https://doi.org/10.3390/molecules30040846
  4. Photocluster catalytic oxidation enabled by structurally precise copper-hydride nanoclusters.
    https://doi.org/10.1038/s41467-026-78511-y
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Wenji Zhang | Biological medicine | Innovative Research Award

Innovative Research Award

Wenji Zhang
Guangdong Academy of Agricultural Sciences

Wenji Zhang
Affiliation Guangdong Academy of Agricultural Sciences
Country China
Scopus ID 56703731300
Documents 57
Citations 1,877
h-index 26
Subject Area Biological medicine
Event International Invention Awards

Wenji Zhang is identified as a researcher affiliated with the Guangdong Academy of Agricultural Sciences in China. The supplied Scopus profile information records scholarly publications and citation activity in a research area described as biological medicine. This article presents an academic profile in the context of the Innovative Research Award, highlighting research output, scholarly visibility, potential contributions, and award suitability. Bibliometric indicators provide a quantitative overview of indexed research activity, but the scientific significance, originality, and practical value of individual studies require assessment of the underlying publications and their findings. [1]

Abstract

Wenji Zhang is a researcher affiliated with the Guangdong Academy of Agricultural Sciences, China, whose supplied scholarly profile identifies research activity associated with biological medicine. The available Scopus metrics indicate a record of indexed publications and citations, offering an overview of scholarly visibility within the research literature. This article examines the profile in relation to the Innovative Research Award and discusses research contributions, publication activity, scientific impact, and recognition considerations. Bibliometric indicators are useful for describing research performance but should be interpreted alongside publication quality, methodological rigor, originality, reproducibility, and practical relevance. A comprehensive award assessment requires direct evaluation of verified publications and supporting evidence.[1]

Keywords

Innovative Research Award; Wenji Zhang; Guangdong Academy of Agricultural Sciences; biological medicine; scientific research; scholarly publications; citation analysis; research innovation; bibliometric assessment; academic recognition.[2]

Introduction

Research innovation contributes to scientific progress by developing new knowledge, improving established methods, and addressing problems relevant to society. In biological medicine, research may connect biological processes with medical understanding, experimental investigation, and potential applications. Assessing a researcher’s contribution requires attention to the originality of published work, the reliability of evidence, and the relevance of findings to the broader scientific community. Bibliographic databases such as Scopus support the discovery and analysis of scholarly publications, although database coverage and author-profile accuracy must be considered when interpreting results. [1] [2]

Research Profile

The supplied profile associates Wenji Zhang with the Guangdong Academy of Agricultural Sciences in China and identifies biological medicine as the subject area. The reported bibliometric record includes indexed documents, citations, and an h-index. These indicators describe different aspects of publication activity and citation reach; they do not independently establish methodological quality, individual authorship contributions, or research originality. Accurate interpretation should account for author disambiguation, publication dates, subject-area differences, and the database’s indexing practices. The Scopus author record is the primary starting point for verifying the listed profile information. [1]

Research Contributions

The scientific contributions associated with a researcher should be established through examination of verified publications rather than inferred solely from institutional affiliation or citation statistics. In biological medicine, relevant contributions may include experimental findings, analytical approaches, biological characterization, or research that supports further investigation. Determining which contributions are attributable to Wenji Zhang requires reviewing the titles, abstracts, full texts, author roles, and findings of the researcher’s publications. Particular attention should be given to methodological transparency, reproducibility, originality, and whether the reported conclusions are supported by the presented evidence. [3]

Publications

The supplied Scopus information reports 57 documents associated with the researcher profile. This figure represents the reported indexed output and should be checked against the live author record before publication or formal evaluation. A publication-level review should verify article titles, author names, journal or conference details, publication dates, persistent identifiers, and any corrections or retractions. Where relevant, DOI records can help identify and locate individual scholarly works. No specific publication titles or DOI identifiers are asserted here because a verified publication list was not supplied with the profile data. [1] [4]

Research Impact

The supplied metrics record 1,877 citations and an h-index of 26. Citation counts can indicate that published work has been referenced by other researchers, while the h-index combines publication output and citation distribution. Both measures vary across disciplines, career stages, publication types, and database coverage. Citations may reflect agreement, methodological reuse, background discussion, or criticism, so their number alone cannot demonstrate positive scientific or societal impact. A balanced assessment should consider the content of citing studies, the reproducibility of findings, subsequent research developments, and evidence of practical application where such evidence exists. [2] [3]

Award Suitability

The Innovative Research Award provides a context for considering scientific originality, research quality, problem-solving, and the contribution of scholarly work to a field. The supplied publication and citation indicators offer background information for reviewing Wenji Zhang’s research record, but they are not sufficient to establish award eligibility or determine a final outcome. A fair evaluation should examine verified publications, the candidate’s specific contributions, evidence of innovation, research integrity, and the significance of the findings. The final decision should follow the award organizer’s published criteria and a documented assessment of relevant supporting materials.[2]

Conclusion

Wenji Zhang’s supplied profile identifies an affiliation with the Guangdong Academy of Agricultural Sciences in China and scholarly activity associated with biological medicine. The reported Scopus indicators provide a concise overview of indexed publication and citation activity, while leaving the originality and significance of individual contributions to be established through publication-level review. For academic recognition, bibliometric evidence should complement rather than replace qualitative assessment of research quality, reproducibility, integrity, and relevance. Verification of the current author record and supporting research documentation is recommended before using this profile for formal award evaluation or other institutional purposes.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Wenji Zhang, Author ID 56703731300.
    https://www.scopus.com/authid/detail.uri?authorId=56703731300
  2. Review Article. (2025. ). Toxicological Perspectives on RNA m1A Methylation: Biological Processes and Pathological Consequences.
    https://doi.org/10.1002/jat.4981
  3. original Article (2026. ). Solanesol Alleviates Perfluoroheptanoic Acid-Induced Premature Senescence in Human Skin Fibroblasts via RNA Methylation.
    https://doi.org/10.1002/fsn3.71939
  4. Scientific Reports. (2024.). Integrative proteome and metabolome unveil the central role of IAA alteration in axillary bud development following topping in tobacco.
    https://doi.org/10.1038/s41598-024-66136-4
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Parveen Khatoon | Mathematics | Women Researcher Award

Women Researcher Award

Parveen Khatoon
National Institute of Technology Silchar

Parveen Khatoon
Affiliation National Institute of Technology Silchar
Country India
Subject area Mathematics
Event International Invention Awards
ORCID 0009-0007-9557-4515

Parveen Khatoon is identified in the supplied researcher information as being affiliated with the National Institute of Technology Silchar (NIT Silchar), India, with mathematics listed as the subject area. The provided bibliographic details report one Scopus-indexed document and nine works, although the coverage and source of the broader works count have not been independently established. Her researcher profile can be examined through the supplied Scopus author record and ORCID identifier. Any assessment for the Best Researcher Award should consider verified research contributions, methodological quality, originality, and relevance alongside available bibliometric indicators. [1] [2]

Abstract

This article presents a bibliographic overview of Parveen Khatoon, a researcher affiliated with the National Institute of Technology Silchar in India whose reported subject area is mathematics. The supplied profile identifies a Scopus author record and an ORCID identifier, providing routes for examining research outputs and author identity. Available information reports one Scopus document and nine works, but does not establish the complete publication history, citation count, or h-index. The profile is considered in relation to the Best Researcher Award associated with the International Invention Awards. A balanced evaluation should examine verified publications, originality, methodological rigor, research contribution, and documented scholarly impact. [1]

Keywords

Parveen Khatoon; Best Researcher Award; mathematics; NIT Silchar; mathematical research; scholarly publications; research evaluation; bibliometrics; academic recognition; ORCID; Scopus author profile; research impact; scientific contributions; International Invention Awards.[2]

Introduction

Mathematical research supports advances in theoretical understanding, quantitative analysis, computation, modelling, and applications across scientific disciplines. Evaluating researchers in mathematics requires attention to the substance of their work, the problems addressed, the validity of methods, and the influence of their findings. Bibliographic databases and persistent researcher identifiers can assist in locating publications and distinguishing authors with similar names, although their records may differ in coverage and completeness. [1] [2] This article summarizes the supplied information for Parveen Khatoon without treating unverified details as established achievements or implying that an award has already been conferred.

Research Profile

The supplied profile associates Parveen Khatoon with the National Institute of Technology Silchar and identifies India as her country of affiliation. Mathematics is the listed subject area. Her Scopus author identifier is provided as 60962590500, while her ORCID identifier is 0009-0007-9557-4515. These identifiers can support bibliographic verification and help researchers examine publication records across platforms. Institutional affiliation, author identity, and subject classification should be confirmed against current official records before publication or formal award assessment. [1] [2]

Research Contributions

A rigorous account of an individual researcher’s contributions should describe identifiable mathematical problems, original results, analytical or computational methods, and the relevance of published findings. The information supplied for this profile does not specify particular theorems, research topics, co-authored studies, or practical applications attributable to Parveen Khatoon. Consequently, no specific discovery or research achievement can be reliably assigned here. A complete assessment should examine the full texts of relevant publications, clarify authorship and contribution, and evaluate the validity and significance of the results within the appropriate mathematical field.[2]

Publications

The supplied bibliographic summary reports one document in Scopus and nine works overall. These figures are presented as supplied information rather than independently verified publication totals. The term “works” may refer to records across a broader set of sources and should not automatically be interpreted as nine peer-reviewed journal articles. Publication titles, co-authors, dates, document types, and persistent identifiers should be checked in the Scopus author record, ORCID record, and relevant publisher pages. Duplicate entries, author-name variations, and differences in database indexing should be resolved before a definitive publication list is prepared. [1] [2]

Research Impact

Research impact may be examined through citation activity, use of findings by other scholars, methodological influence, reproducibility, and contributions to subsequent theoretical or applied work. Citation counts and the h-index can provide limited quantitative context, but they do not independently measure originality, correctness, or broader significance. Standard bibliometric literature emphasizes that indicators should be interpreted in context and combined with qualitative expert judgment. [3] [4] Citation totals and h-index values for this profile have not been supplied, so no numerical impact assessment or comparative ranking is made.

Award Suitability

The Best Researcher Award associated with the International Invention Awards may be considered in relation to documented scholarly output, originality, research quality, professional integrity, and demonstrable contribution to the relevant field. For a mathematics researcher, appropriate evidence could include peer-reviewed publications, validated theoretical results, meaningful collaboration, reproducibility where applicable, and recognition by independent scholarly communities. The supplied identifiers and publication summary provide a preliminary starting point for review, not a final judgment of eligibility or merit. Any award decision should follow the organizer’s published criteria, independent verification, and a consistent evaluation process. This profile does not establish that Parveen Khatoon has received the award.[2]

Conclusion

Parveen Khatoon’s supplied profile identifies an affiliation with NIT Silchar in India, mathematics as the subject area, and corresponding Scopus and ORCID identifiers. The reported document and works counts offer a preliminary bibliographic snapshot, while citation metrics and detailed research contributions remain unverified in the available information. A balanced assessment for the Best Researcher Award should prioritize verified publications, originality, methodological rigor, and independently documented impact rather than relying on publication counts alone. Updating the profile against authoritative academic records would improve its completeness, accuracy, and suitability for formal scholarly recognition.[3]

References

  1. ORCID. (n.d.). ORCID record: 0009-0007-9557-4515.
    https://orcid.org/0009-0007-9557-4515
  2. Journal article (2026.) Neural network-based analysis of biconvective electromagnetohydrodynamic diamond-infused micropolar nanofluid flow in a ciliated channel: Effects of nanoparticle aggregation and microorganisms.
    https://doi.org/10.1016/j.diamond.2026.114221
  3. Cogniverse Press. (2026.) Cilia-Inspired Slip Control for Targeted Nanodrug Delivery in Channels.
    https://doi.org/10.5281/zenodo.21948899
  4. Cogniverse Press. (2026.) Machine-Learning Surrogates for Nanodrug Wall Targeting in Cilia-Inspired Channels.
    https://doi.org/10.5281/zenodo.21947212
  5. International Invention Awards. (2026.). Official award website.
    https://inventionawards.org/

Ziqin Wang | Toxicology and Pharmaceutical Science | Innovative Research Award

Innovative Research Award

Ziqin Wang
Beijing Chaoyang Kaiwen Academy

Researcher Profile
Affiliation Beijing Chaoyang Kaiwen Academy
Country China
Subject Area Toxicology and Pharmaceutical Science
Event International Invention Awards
ORCID 0009-0004-2036-3316

Ziqin Wang is associated with Beijing Chaoyang Kaiwen Academy in China, with toxicology and pharmaceutical science identified as the relevant subject areas in the supplied profile. These disciplines investigate the biological effects of chemical substances, pharmaceutical safety, therapeutic development, and evidence-based approaches to evaluating medicines.methodological quality, and research relevance. Specific publications, research achievements, and bibliometric indicators require independent verification before attribution. Established toxicological assessment principles and pharmaceutical research guidance provide a foundation for evaluating scientific contributions in these fields.[1][2]

Abstract

This article presents an academic recognition profile for Ziqin Wang of Beijing Chaoyang Kaiwen Academy, China, in connection with the Innovative Research Award and the International Invention Awards. The stated subject areas are toxicology and pharmaceutical science, which encompass chemical safety, biological responses, therapeutic substances, and pharmaceutical development. The profile outlines relevant research themes and describes considerations for evaluating originality, methodological quality, scientific integrity, and practical relevance. Specific publications, research achievements, citation counts, and other bibliometric indicators have not been independently verified. Authoritative institutional records and scholarly databases should be consulted before attributing individual accomplishments or drawing conclusions about research impact or award eligibility.

Keywords

Ziqin Wang, Innovative Research Award, International Invention Awards, toxicology, pharmaceutical science, drug safety, pharmacological research, chemical risk assessment, pharmaceutical innovation, scientific research, biomedical development, research evaluation.

Introduction

Scientific innovation advances knowledge by introducing new methods, testing hypotheses, and addressing unresolved research questions. Toxicology and pharmaceutical science contribute to this process through investigations of chemical hazards, biological mechanisms, drug safety, and therapeutic development. Evaluating work in these areas requires attention to experimental design, reproducibility, ethical conduct, and the strength of supporting evidence. Internationally recognized scientific and pharmaceutical guidance provides useful context for understanding these requirements.[1][2]

Research Profile

The supplied information identifies Ziqin Wang with Beijing Chaoyang Kaiwen Academy in China and lists toxicology and pharmaceutical science as relevant subject areas. These fields combine concepts from chemistry, biology, pharmacology, and health sciences to examine the effects of substances and the development of therapeutic products. The available information does not independently establish a specific research appointment, degree, laboratory affiliation, or publication history. Additional details should be confirmed through institutional documentation, scholarly records, or the researcher’s verified public profile before inclusion in a formal academic biography.[3]

Research Contributions

Potential contributions within toxicology and pharmaceutical science include the assessment of chemical hazards, analysis of dose-response relationships, investigation of biological mechanisms, and development of improved methods for evaluating substance safety. Pharmaceutical research can also address formulation, drug delivery, analytical techniques, and the evaluation of therapeutic candidates. These examples describe the broader scientific disciplines and should not be interpreted as confirmed achievements by Ziqin Wang. Individual discoveries, inventions, experimental results, or original methods should be attributed only when supported by identifiable publications, patents, institutional records, or other reliable evidence.[1][2]

Publications

A verified publication record helps establish research activity, subject expertise, and scholarly contributions. Relevant materials may include peer-reviewed journal articles, conference papers, research reports, and publications describing original experimental findings. Each record should be checked for authorship, publication details, journal information, and a persistent identifier such as a digital object identifier (DOI), when available. No specific publication or DOI has been verified for this profile. Consequently, publication titles and numerical research indicators should be added only after checking appropriate scholarly databases and original publication records.[3]

Research Impact

Research impact can be examined through scientific quality, reproducibility, independent citation, practical application, and relevance to important research questions. In toxicology and pharmaceutical science, meaningful outcomes may include stronger safety assessment methods, improved understanding of biological effects, or evidence that supports further therapeutic development. Citation counts and h-index values can indicate aspects of scholarly visibility but cannot independently establish originality or practical benefit. An evidence-based assessment of Ziqin Wang’s research impact requires verified publications, documented research outputs, and independent evidence of how the work has contributed to scientific understanding or subsequent applications.[1]

Award Suitability

The Innovative Research Award provides a framework for recognizing work that may demonstrate originality, methodological rigor, scientific relevance, and responsible innovation. In toxicology and pharmaceutical science, a nomination may be supported by documented research findings, validated methods, relevant publications, patents, or evidence of practical application. The supplied profile information alone is insufficient to establish award eligibility or determine the strength of a nomination. A fair assessment should use the International Invention Awards’ applicable eligibility requirements and evaluation criteria, supported by reliable documentation and a transparent review process.[3]

Conclusion

This profile presents Ziqin Wang in the context of Beijing Chaoyang Kaiwen Academy, China, and the subject areas of toxicology and pharmaceutical science. It outlines the broader scientific context of the Innovative Research Award and the importance of originality, reproducibility, and evidence-based evaluation. A complete academic assessment requires verified scholarly outputs, documented research achievements, and confirmation of the relevant award criteria. The inclusion of numbered references links the discussion to sources on toxicological assessment, pharmaceutical guidance, and researcher identification, while maintaining a clear distinction between supplied profile information and independently established facts.

References

  1. ORCID. (n.d.). ORCID: Connecting Research and Researchers. ORCID.
    https://orcid.org/0009-0004-2036-3316
  2. Journal article. (2026. ) Cardiolipin-Specific Targeting of Melittin via Arg22 in Lipid Membranes: A Natural Toxin-Based Strategy for Treating Mitochondrial Dysfunction in Aging and Disease.
    https://doi.org/10.3390/toxins18100432
  3. International Invention Awards. (2026.). Official website.
    https://inventionawards.org/

Junning Ma | Clinical Nano Science | Editorial Board Member

Editorial Board Member

Junning Ma
Zhejiang University

Junning Ma
Affiliation Zhejiang University
Country China
Citations 314
Works 4
Subject Area Clinical Nano Science
Event International Invention Awards
ORCID 0000-0003-3499-8246

Junning Ma is identified in the supplied profile as a researcher affiliated with Zhejiang University, China, with a stated research area of Clinical Nano Science. The profile reports four research works and 314 citations, although these bibliometric figures require independent verification against the relevant database. The researcher’s ORCID identifier provides a persistent reference for checking scholarly identity and associated research outputs. This article summarizes the available profile information and its relevance to academic research and the International Invention Awards, without attributing unverified publications or discoveries to the researcher. [1]

Abstract

This article presents a researcher profile for Junning Ma, identified in the supplied information as being affiliated with Zhejiang University, China, and working in the area of Clinical Nano Science. The available profile reports four research works and 314 citations, figures that require verification against authoritative bibliographic records. An ORCID identifier is included to facilitate researcher identification and discovery of associated scholarly outputs. The article reviews the research profile, potential contributions, publication information, scholarly impact, and relevance to the International Invention Awards. A comprehensive evaluation requires verified publications, documented research achievements, and evidence demonstrating originality, scientific significance, and practical impact.

Keywords

Junning Ma; Zhejiang University; Clinical Nano Science; nanoscience; nanotechnology; clinical research; scholarly publications; research impact; ORCID; academic recognition; International Invention Awards.

Introduction

Clinical nanoscience combines nanoscale materials and technologies with biomedical research to investigate potential applications in diagnosis, imaging, treatment, and healthcare. Its interdisciplinary nature requires evaluation of experimental evidence, methodological rigor, and the relevance of findings to clinical or scientific challenges. The supplied information identifies Junning Ma with Zhejiang University and Clinical Nano Science. Establishing a reliable research biography requires confirmation of the researcher’s identity, institutional affiliation, publications, and specific contributions using authoritative sources. Persistent researcher identifiers and bibliographic databases are useful tools for supporting this verification process. [1]

Research Profile

The supplied profile identifies Junning Ma as affiliated with Zhejiang University, China, and reports four research works and 314 citations. These figures provide preliminary bibliometric information but do not independently establish publication quality, authorship accuracy, or the significance of individual contributions. The supplied ORCID identifier can be used to investigate the researcher’s registered scholarly activities. Verification should include matching author names, institutional affiliations, publication metadata, and persistent identifiers to ensure that records are correctly attributed and that the profile remains accurate. [1] [2]

Research Contributions

Research contributions in clinical nanoscience may include developing nanomaterials, improving biomedical measurement techniques, investigating nanoscale interactions, or exploring technologies for clinical applications. The value of a contribution depends on the originality of the research question, the reliability of its methods, and the reproducibility and significance of its results. The supplied information does not identify specific publications, inventions, or experimental findings attributable to Junning Ma. Individual contributions should therefore be documented using original research papers, verified project records, and other appropriate supporting evidence before definitive claims are made.

Publications

The profile information reports four research works, but individual publication titles, journals, publication dates, DOI identifiers, and author positions have not been supplied. These details should be obtained from verified scholarly records rather than generated from incomplete information. Scopus and other bibliographic databases can support the identification of relevant publications and citation records. Each publication should be checked for correct authorship, institutional affiliation, and DOI resolution before inclusion in a formal academic biography or award evaluation. [2]

Research Impact

The reported citation count of 314 may provide an initial indication of scholarly visibility, subject to verification of the database and researcher identity. Citation metrics vary according to database coverage, publication age, disciplinary conventions, and collaborative practices. A balanced impact assessment should also consider the quality of the research, independent use of findings, reproducibility, and demonstrable scientific or clinical outcomes. The h-index is not available in the supplied information and should not be inferred from the reported citation count or number of research works. [2]

Award Suitability

The International Invention Awards is the recognition event specified for this profile. Assessment for an award should consider the applicable eligibility requirements, originality, documented individual contributions, scientific or technical merit, and evidence of impact. The supplied research profile can provide preliminary background information but is not sufficient on its own to establish eligibility or selection. A comprehensive assessment should use a verified curriculum vitae, relevant publications, supporting evidence of research or inventions, and the official award criteria published by the organizers. [3]

Conclusion

The supplied information presents Junning Ma as a researcher affiliated with Zhejiang University, China, in the subject area of Clinical Nano Science. Four research works and 314 citations are reported, and an ORCID identifier is provided for further verification. The Scopus author ID, h-index, individual publication records, and specific research achievements remain unverified or unavailable. Confirmation against authoritative academic records is necessary before treating the profile as a complete, independently verified biography or using it as the basis for formal recognition.

References

  1. ORCID. (n.d.). ORCID: Connecting Research and Researchers. ORCID
    https://orcid.org/0000-0003-3499-8246
  2. Journal article. (2019. ). Targeted Drug Delivery to Stroke via Chemotactic Recruitment of Nanoparticles Coated with Membrane of Engineered Neural Stem Cells.
    https://doi.org/10.1002/smll.201902011
  3. International Invention Awards. (2026.). Official website.
    https://inventionawards.org/