REVIEW

Research Progress and Prospect of Emerging Research Topic Identification Methods

  • Xu Haiyun ,
  • Gong Bingying ,
  • Yang Junhao ,
  • Hu Xiaoyang ,
  • Wang Chao ,
  • Chen Liang
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  • 1 Business School, Shandong University of Technology, Zibo 255000;
    2 Institute of Scientific and Technical Information of China, Beijing 100038
Xu Haiyun, professor, PhD, doctoral supervisor, E-mail: xuhaiyunnemo@gmail.com; Gong Bingying, master candidate; Yang Junhao, master candidate; Hu Xiaoyang, master candidate; Wang Chao, associate professor, PhD, master supervisor; Chen Liang, associate researcher, PhD, master supervisor.

Received date: 2024-02-04

  Revised date: 2024-08-14

  Online published: 2025-02-11

Supported by

This work is supported by the National Natural Science Foundation of China project titled “Early Recognition Method of Transformative Scientific and Technological Innovation Topics based on Weak Signal Temporal Network Evolution analysis” (Grant No. 72274113), the Natural Science Foundation of Shandong Province project titled “Early Recognition Method of Transformational Innovation Topics Using Weak Signal Analysis” (Grant No. ZR202111130115).

Abstract

[Purpose/Significance] With the rapid growth of data volumes and technological advancements, leveraging intelligent technologies for earlier and more precise identification of emerging research topics is of great importance. This paper reviews relevant literature to provide a more precise and multi-perspectival methodological reference for future research on the emerging research topics identification. [Method/Process] Using the Web of Science Core Collection and CNKI as data sources, this study first clarified emerging research topics and related concepts, summarized the multi-source data used in the research. It then focused on reviewing the identification methods, emphasizing those with currently low application but high potential in science and technology intelligence analysis, and provided a comprehensive overview. Finally, the paper proposed feasible directions for the emerging research topic identification. [Result/Conclusion] Emerging research topics have always been a frontier hotspot in scientific intelligence, with increasingly clear characterizations and rapidly iterating identification methods. However, current research faces challenges such as single data types and a lack of advanced identification methods and tools. Future research needs to expand theoretical perspectives, enhance the use of intelligent technologies, cover more dimensions of emerging research topics, and integrate expert knowledge to improve the accuracy and recall rate of emerging research topic identification.

Cite this article

Xu Haiyun , Gong Bingying , Yang Junhao , Hu Xiaoyang , Wang Chao , Chen Liang . Research Progress and Prospect of Emerging Research Topic Identification Methods[J]. Library and Information Service, 2025 , 69(3) : 135 -150 . DOI: 10.13266/j.issn.0252-3116.2025.03.012

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