Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (6): 157-171.doi: 10.13365/j.jirm.2025.06.157

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Review Research on Measuring Scientific Contributions of Academic Papers: Identification, Classification, and Intensity

Wei Huanan1,2 Ding Jielan1,2 Liu Xiwen1,2   

  1. 1.National Science Library, Chinese Academy of Sciences, Beijing, 100190; 
    2.Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190
  • Online:2025-11-26 Published:2026-01-06
  • About author:Wei Huanan, Ph.D. candidate, research interests including research evaluation and scientometrics; Ding Jielan(corresponding author), Ph.D., associate research professor, research interests including scientometrics, governance and mining of scientific and technological literature data, Email: dingjielan@mail.las.ac.cn; Liu Xiwen, Ph.D., research professor, research interests including intelligence theory and methods.
  • Supported by:
    This work is supported by the General Project of National Social Science Foundation of China, titled "Research on Measuring Methods of International Cooperation from the Perspective of Region and Culture" (23BTQ103).

Abstract: This study systematically reviews research related to the scientific contributions of academic papers in the field of scientometrics, summarizes research methods and the latest progress, and aims to provide reference and guidance for subsequent research. By reviewing relevant domestic and international literature, this study first defines and analyzes the core concepts and connotations of the scientific contributions of academic papers. Subsequently, from a methodological perspective, it provides a detailed description and summary of the identification, classification, and intensity measurement of scientific contributions of academic papers. This study shows that the measurement of scientific contributions of academic papers is an emerging research field that is rapidly developing and requires further development and improvement. In the future, research can deepen the theoretical study of the mechanisms underlying the scientific contributions of papers and refine the measurement methods for fine-grained scientific contributions, such as theoretical contributions, methodological contributions and data contributions, and advance the application research of large language models in measuring the scientific contributions of papers.

Key words: Scientific contribution, Contribution identification, Contribution classification, Contribution intensity, Scientometrics

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