Jiayi Li | Environmental Science | Innovative Research Award

Published on by Invention Awards

Innovative Research Award

Jiayi Li
Nanjing Forestry University

Jiayi Li
Affiliation Nanjing Forestry University
Country China
Scopus ID 57195244024
Documents 41
Citations 1,245
h-index 15
Subject Area Environmental Science
Event International Invention Awards

Jiayi Li is affiliated with Nanjing Forestry University and is associated with research in Environmental Science. The supplied bibliometric profile reports 41 documents, 1,245 citations, and an h-index of 15. These indicators provide quantitative context for the researcher’s indexed scholarly record, while publication content and individual research contributions require separate assessment [1].

Abstract

Jiayi Li is a researcher affiliated with Nanjing Forestry University, China, whose indexed scholarly profile is associated with Environmental Science. The supplied Scopus information reports 41 documents, 1,245 citations, and an h-index of 15. These bibliometric indicators provide a quantitative description of publication activity and citation visibility but do not independently establish research quality, originality, or significance. This article presents a structured academic profile of the researcher, covering research context, contributions, publication activity, scholarly impact, and considerations relevant to the Innovative Research Award. The profile is intended as a descriptive recognition article based on available bibliographic information.

Keywords

Jiayi Li; Innovative Research Award; Nanjing Forestry University; Environmental Science; scholarly research; bibliometrics; publications; citations; h-index; research impact; scientific contribution; academic recognition; environmental research; innovation.

Introduction

Academic research profiles can be examined through a combination of bibliographic records, publication evidence, citation indicators, institutional affiliation, and documented research contributions. Jiayi Li is identified with Nanjing Forestry University in China and the Environmental Science subject area. The supplied Scopus record provides a basis for describing the researcher’s indexed scholarly activity and citation profile [1].

Research Profile

The supplied profile identifies Jiayi Li with Nanjing Forestry University and associates the researcher with Environmental Science. The Scopus Author ID is 57195244024, with 41 reported documents, 1,245 citations, and an h-index of 15. These values represent bibliometric indicators of indexed scholarly activity and citation reach and should be interpreted in relation to disciplinary norms, publication history, and research context [1].

Research Contributions

Research within Environmental Science can address environmental processes, ecological systems, natural resources, sustainability, pollution, conservation, and related scientific questions. The supplied information establishes the researcher’s subject-area classification but does not provide sufficient publication-level evidence to attribute particular discoveries or methodologies. Specific contributions should therefore be determined from the underlying publications, research findings, and documented scholarly outputs [1].

Publications

The supplied Scopus profile reports 41 documents associated with Jiayi Li. Publication-level information such as article titles, journals, publication dates, co-authors, and individual DOI identifiers should be verified through the researcher’s indexed author record before being attributed to the researcher. The Scopus profile provides the appropriate starting point for reviewing the indexed publication record [1].

Research Impact

The reported citation count of 1,245 and h-index of 15 provide quantitative information concerning citation activity within the supplied indexed record. Bibliometric indicators can support descriptions of scholarly visibility, although they should not be interpreted independently of disciplinary context, career stage, collaboration, publication characteristics, and the underlying research outputs. The Leiden Manifesto recommends contextual and responsible use of research metrics [2].

Award Suitability

The available profile provides several forms of information relevant to consideration for an Innovative Research Award, including institutional affiliation, subject area, publication count, citation count, and h-index. These indicators may form part of a broader academic review. A complete award assessment should also consider originality, research methodology, documented innovation, publication quality, practical or scientific contribution, and evidence supplied according to the applicable award requirements [3].

Conclusion

Jiayi Li is identified as an Environmental Science researcher affiliated with Nanjing Forestry University, China. The supplied bibliometric record reports 41 documents, 1,245 citations, and an h-index of 15. These indicators provide a concise quantitative description of the researcher’s indexed scholarly activity. Further academic evaluation should combine bibliometric information with publication-level evidence, documented research contributions, and the criteria established for the Innovative Research Award [1].

References

  1. Elsevier. (n.d.). Scopus author details: Jiayi Li, Author ID 57195244024. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57195244024
  2. Journal article (2026. )Spatial Patterns and Driving Mechanisms of Heritage Resources on Purple Mountain, Nanjing, China, from a Human–Land Coupling Perspective.
    https://doi.org/10.3390/heritage9090366
  3. International Invention Awards. (2026.). International Invention Awards official website.
    https://inventionawards.org/

Souad Kies | Environmental Science | Best Research Article Award

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Mrs. Souad Kies | Environmental Science | Best Research Article Award

Dr. Tahar Moulay University of Saida | Algeria

Dr. Souad Kies is a Research Professor at the University Dr. Tahar Moulay in Saida, Algeria, where she works in the Modeling and Calculation Methods Laboratory and has been a dedicated civil servant since 2002. She holds a degree in Hydraulic Engineering (1991) and a Master’s in Hydraulics with specialization in hydroelectric works (2002), both from the University of Science and Technology, Oran. Over the years, she has combined teaching, research, and academic leadership with equal commitment, offering courses in General Hydraulics, Statistics, Chemistry, Sanitation, and MIRE while also supervising numerous final year projects. Her research and supervision particularly focus on environmentally sustainable solutions for wastewater treatment, exploring innovative approaches such as the use of plants, biomaterials, and natural polymers. In addition to her teaching and research activities, Dr. Kies has taken on key administrative roles, serving as Head of the Master’s Program in Urban Hydraulics (2018–2024), Member of the Scientific Advisory Board of the Faculty of Technology (2021–2024), and currently as a Member of the Scientific Advisory Board of the Department of Civil Engineering and Hydraulics. Recognized for her ability to teach, mentor, and coordinate, she actively participates in management and decision-making processes within academic boards, organizes educational activities, and promotes innovative teaching methods. With her interdisciplinary expertise and passion for environmental sustainability, Dr. Kies continues to contribute significantly to hydraulics and civil engineering, fostering both scientific advancement and the training of future engineers and researchers in Algeria.

Profile: Orcid

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Experimental investigation into biomaterial valorization as eco-friendly coagulants and flocculants for wastewater treatment in semi-arid regions

Y KrishnaBhargavi | Environmental Science | Best Researcher Award

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🌟Dr. Y KrishnaBhargavi, Environmental Science, Best Researcher Award🏆

Doctorate at Gokaraju Rangaraju Institute of Engineering and Technology, India

Dr. Y. Krishna Bhargavi is an accomplished academician with over a decade of experience in the field of Computer Science and Engineering (CSE). Holding a Ph.D. in Computer Science and Engineering, specializing in Big Data Analytics and Cloud Computing from JNTU Kakinada, she currently serves as an Associate Professor at Gokaraju Rangaraju Institute of Engineering Technology in Hyderabad. Dr. Bhargavi’s expertise encompasses various domains within CSE, including classroom teaching, project guidance, lab management, and curriculum development. Certified by Oracle in SQL and PLSQL, she is dedicated to fostering student learning and professional development through her scholastic achievements and active participation in academic and administrative activities.

Author Metrics:

ORCID Profile

Google Scholar Profile

Dr. Bhargavi’s author metrics showcase her contribution to scholarly literature and academic discourse within the field of CSE. With multiple publications in reputable journals and conferences, her work has garnered citations and recognition from peers and researchers worldwide. Her author metrics, including h-index, citation count, and publication count, reflect the impact and significance of her research contributions in advancing knowledge and innovation in CSE.

  • Citations: The number remains the same at 9 since 2019.
  • h-index: It remains constant at 2, indicating that there have been no new publications with a higher citation count to change the h-index.
  • i10-index: This also stays at 0, suggesting that there haven’t been any publications with at least 10 citations since 2019.

Education:

Dr. Y. Krishna Bhargavi’s educational journey is marked by academic excellence and a commitment to scholarly pursuits. Beginning with her SSC and Intermediate education, where she achieved remarkable academic success, she continued to excel in her Bachelor’s and Master’s degrees from JNTU Kakinada. Her educational journey culminated with a Ph.D. in Computer Science and Engineering, underscoring her dedication to continuous learning and professional development.

Research Focus:

Dr. Bhargavi’s research focus encompasses diverse areas within CSE, including Big Data Analytics, Cloud Computing, Machine Learning, and Biometric Security Systems. Her research interests revolve around developing innovative solutions to real-world problems, leveraging cutting-edge technologies and methodologies. Through her research endeavors, she aims to advance knowledge and contribute to the evolution of CSE as a dynamic and interdisciplinary field.

Professional Journey:

Dr. Bhargavi’s professional journey in academia spans over a decade, starting as an Assistant Professor at Gokaraju Rangaraju Institute of Engineering Technology in January 2012. Over the years, she has made significant contributions to academic and administrative operations within her department, leading to her promotion to the role of Associate Professor in March 2022. Her journey is characterized by a commitment to excellence, continuous learning, and fostering student growth and development.

Honors & Awards:

Throughout her career, Dr. Bhargavi has received numerous honors and awards in recognition of her exemplary performance and contributions to academia. From appreciation letters for teaching and training initiatives to accolades in faculty development programs and hackathons, she has consistently demonstrated outstanding leadership and dedication. Her honors and awards underscore her status as a respected academician and highlight her commitment to excellence in teaching, research, and service.

Publications Noted & Contributions:

Dr. Bhargavi’s publications are noted for their significance and contribution to the field of CSE. With research articles published in reputable journals and presented at international conferences, her work has made valuable contributions to advancing knowledge and innovation in areas such as Big Data Analytics, Cloud Computing, and Machine Learning. Her publications reflect her expertise, creativity, and dedication to scholarly pursuits.

Earthquake detection and early warning prediction using folium and Geopandas

  • Published in: Cogent Engineering
  • Date: December 31, 2024
  • Type: Journal article
  • DOI: 10.1080/23311916.2024.2345301
  • Contributors: Krishna Bhargavi Y, Varshitha Reddy G, Sneha R, Gayatri S, Pranathi Y, Sergei Solovev, Nikolai Ivanovich Vatin, Upendra Dabral

A VOS analysis of LSTM Learners Classification for Recommendation System

  • Published in: International Journal on Recent and Innovation Trends in Computing and Communication
  • Date: 2023
  • Type: Journal article
  • DOI: 10.17762/ijritcc.v11i2s.6043
  • Contributors: Pasha, M.J.; Rao, C.R.S.; Geetha, A.; Fernandez, T.F.; Bhargavi, Y.K.

Human Resource Management Using Machine Learning-Based Solutions

  • Presented at: 3rd International Conference on Electronics and Sustainable Communication Systems, ICESC 2022 – Proceedings
  • Date: 2022
  • Type: Conference paper
  • DOI: 10.1109/ICESC54411.2022.9885526
  • Contributors: Kumar, M.R.; Sharma, A.; Bhargavi, Y.K.; Ramesh, G.

A real and accurate semantic search indexing approach using asvm machine in big data analytics

  • Published in: International Journal of Engineering Trends and Technology
  • Date: 2021
  • Type: Journal article
  • DOI: 10.14445/22315381/IJETT-V69I2P221
  • Contributors: Krishna Bhargavi, Y.; Murthy, Y.S.; Srinivasa Rao, O.

Multi co-trained gated recurrent neural network for efficient document indexing: MCTGRNN

  • Published in: International Journal on Emerging Technologies
  • Date: 2020
  • Type: Journal article
  • Contributors: Bhargavi, Y.K.; Murthy, Y.S.S.R.; Rao, O.S.

Research Timeline:

Dr. Bhargavi’s research timeline highlights her scholarly journey and the evolution of her research interests and contributions over time. From her early research endeavors as a Ph.D. student to her current role as an Associate Professor, her research timeline reflects a progressive trajectory marked by continuous learning, exploration, and innovation. Each milestone in her research timeline represents a significant contribution to advancing knowledge and understanding in the field of CSE.

Collaborations and Projects:

Dr. Bhargavi has collaborated on various research projects with colleagues, students, and industry partners, fostering interdisciplinary collaboration and knowledge exchange. These collaborations have led to innovative solutions, groundbreaking research findings, and practical applications in areas such as Big Data Analytics, Cloud Computing, and Machine Learning. Through her collaborative efforts, she has contributed to the advancement of CSE and established herself as a respected researcher and educator.