David Zhang | Computer Science | Best Researcher Award

Best Researcher Award

David Zhang
The Chinese University of Hong Kong

David Zhang
Affiliation The Chinese University of Hong Kong
Country China
Scopus ID 57195047946
Documents 980
Citations 68,552
h-index 123
Subject Area Computer Science
Event International Invention Awards
ORCID 0000-0002-5027-5286

David Zhang of The Chinese University of Hong Kong is profiled for research activity in Computer Science. The supplied academic record reports 980 documents, 68,552 citations, and an h-index of 123. These indicators provide quantitative context for scholarly productivity and citation influence. The profile is presented in connection with the Best Researcher Award associated with the International Invention Awards. Bibliometric indicators should be considered alongside publication quality, originality, research contribution, and disciplinary relevance. [1]

Abstract

David Zhang is a Computer Science researcher affiliated with The Chinese University of Hong Kong. The supplied academic record reports 980 documents, 68,552 citations, and an h-index of 123, providing bibliometric context for evaluating research productivity and scholarly visibility. This article presents an academic recognition profile covering research activity, contributions, publications, measurable impact, and potential suitability for the Best Researcher Award associated with the International Invention Awards. Bibliometric measures are treated as supporting evidence rather than independent indicators of research quality. A complete evaluation should additionally consider originality, methodological significance, publication quality, collaboration, and the broader contribution of research to Computer Science.

Keywords

David Zhang, Best Researcher Award, Computer Science, The Chinese University of Hong Kong, research excellence, scholarly impact, bibliometrics, Scopus, ORCID, International Invention Awards, scientific publications, research innovation.

Introduction

Academic recognition in Computer Science can consider research productivity, citation influence, originality, methodological contribution, and wider scholarly relevance. The supplied profile contains substantial bibliometric indicators that can be used to describe research activity. Scopus provides bibliographic and citation information, while ORCID supplies a persistent identifier for distinguishing researchers and connecting scholarly records. [2] [3]

Research Profile

David Zhang is identified as a Computer Science researcher affiliated with The Chinese University of Hong Kong in China. The reported Scopus author identifier is 57195047946 and the ORCID identifier is 0000-0002-5027-5286. These identifiers support the organization and verification of scholarly records across academic information systems. [2] [3]

Research Contributions

The supplied record indicates sustained scholarly activity in Computer Science, supported by the reported publication and citation measures. A detailed assessment of specific contributions would require examination of individual publications, research themes, technical methods, collaborations, and evidence of subsequent academic use. The available information therefore supports a general research profile without assigning specific discoveries that have not been independently documented.

Publications

The supplied Scopus information reports 980 documents associated with the researcher identifier. This figure indicates substantial publication activity, although publication counts should be interpreted in relation to article types, authorship patterns, collaboration, disciplinary practices, and publication venues. The Scopus author record provides a basis for reviewing individual documents and associated citation information. [2]

Research Impact

The reported citation count of 68,552 and h-index of 123 indicate a substantial citation footprint within the supplied academic record. The h-index combines publication productivity with citation frequency, although citation patterns differ among disciplines and research communities. Consequently, bibliometric indicators are most informative when interpreted together with qualitative evidence concerning originality, significance, research quality, and influence. [1]

Award Suitability

Based on the supplied information, David Zhang presents a profile that may be considered for the Best Researcher Award because of the reported publication volume and citation indicators. A final assessment should follow the official criteria of the International Invention Awards and include verification of identity, publications, research contributions, originality, and supporting evidence. [4]

Conclusion

David Zhang’s supplied profile describes a Computer Science researcher affiliated with The Chinese University of Hong Kong, with reported figures of 980 documents, 68,552 citations, and an h-index of 123. These measures provide quantitative evidence of sustained scholarly activity and citation visibility. A comprehensive assessment should combine these indicators with publication-level review, research originality, methodological significance, and disciplinary contribution.

References

  1. Elsevier. (n.d.). Scopus author details: David Zhang, Author ID 57195047946. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57195047946
  2. Journal article. (2017.). Domain class consistency based transfer learning for image classification across domains.
    https://doi.org/10.1016/j.ins.2017.08.034
  3. Journal article. (2018.). Two-phase linear reconstruction measure-based classification for face recognition.
    https://doi.org/10.1016/j.ins.2017.12.025
  4. ORCID. (n.d.). ORCID record: 0000-0002-5027-5286. ORCID.
    https://orcid.org/0000-0002-5027-5286
  5. International Invention Awards. (2026. ) Official award website.
    https://inventionawards.org/

Liang Zhang | Economics | Research Excellence Award

Dr. Liang Zhang | Economics | Research Excellence Award

Central South University | China

Dr. Liang Zhang is a highly productive and analytically rigorous scholar whose research contributes significantly to the fields of strategic management, corporate innovation, stakeholder governance, and organizational resilience. As an associate professor at the Business School of Central South University, his work integrates perspectives from institutional theory, organizational behavior, resource-based thinking, and corporate governance to explain how firms navigate complex institutional, political, and market environments. His research portfolio demonstrates a strong theoretical foundation combined with empirical sophistication, offering valuable insights into how organizations respond to external pressures and internal constraints. A substantial portion of his work examines the influence of institutional forces—such as ideological imprinting, government interventions, and political ties—on firm behavior. His article in the British Journal of Management (2023) provides a compelling analysis of how communist ideological imprinting shapes the strategic transformation of state-owned enterprises, contributing to a deeper understanding of institutional persistence and organizational adaptation. His more recent work, also in British Journal of Management (2024), explores the curvilinear relationship between supply concentration and organizational resilience, highlighting how firms balance risk exposure and resource dependence. Corporate innovation forms another major pillar of his scholarship. His publications in Industry and Innovation analyze the effects of R&D subsidies, partner repeatedness in university-industry alliances, and the configuration of collaborative portfolios on firm innovation performance. These studies offer nuanced insights into how firms strategically allocate and utilize resources, how collaboration patterns shape knowledge flows, and how external supports influence innovation outcomes. This line of inquiry aligns with global priorities around technological upgrading, innovation ecosystems, and sustainable competitiveness. His broader work on stakeholder dynamics and governance further enriches his research contributions. Publications in Management and Organization Review, Journal of Business Research, and IEEE Transactions on Engineering Management examine conflicting stakeholder pressures, the signaling effects of government official visits, financing outcomes for young technology-based firms, and board–CEO social ties as determinants of agency costs. These studies collectively illuminate how organizations manage external expectations, secure critical resources, and control internal governance risks. Across his publications, a consistent strength is his ability to integrate multiple theoretical perspectives to explain complex organizational phenomena. His empirical studies frequently utilize multilevel data, advanced statistical modeling, and contextually grounded institutional analysis, reinforcing the robustness of his findings. Liang Zhang’s research provides valuable implications for scholars, policymakers, and industry leaders concerned with innovation management, organizational adaptation, and strategic decision-making in emerging and transitional economies.

Profiles: Orcid | Google Scholar

Featured Publications

Zhang, L., Zhang, Z., Jia, M., & Ren, Y. (2020). A tiger with wings: CEO–board surname ties and agency costs. Journal of Business Research, 118, 271–285.

Zhang, L., Ren, Y., & Wu, J. (2023). Communist ideological imprinting and the transformation of state‐owned enterprises. British Journal of Management, 34(2), 1062–1078.

Zhang, L., Zhang, Z., Ren, Y., & Jia, M. (2020). The signaling effect of government official visits on external financing of young technology-based firms. IEEE Transactions on Engineering Management, 69(4), 888–903.

Ren, Y., Zhao, W., Zhang, L., & Hou, T. (2024). R&D subsidy and corporate innovation: An integrated view of resource allocation and resource utilisation. Industry and Innovation, 31(6), 727–752.

Zhang, L., Zhang, Z., Jia, M., & Ren, Y. (2017). Do outside directors matter? The impact of prestigious CEOs on firm performance. Chinese Management Studies, 11(2), 284–302.

Zhang, L., Zhang, Z., Jia, M., & Ren, Y. (2020). The strength of two hands: Conflicting stakeholder pressures and corporate philanthropic giving. Management and Organization Review, 16(2), 335–375.

Zhang, S., Shen, H., Zhang, L., & Li, Y. (2023). Promote or inhibit? The influence of partner repeatedness in university–industry alliance portfolios on firm innovation performance. Industry and Innovation, 30(4), 480–505.

Ren, Y., Li, J. J., Zhao, W., & Zhang, L. (2024). The delicate equilibrium: Unveiling the curvilinear nexus between supply concentration and organizational resilience. British Journal of Management, 35(4), 1935–1960.