%A Wang Lu, Le Xiaoqiu %T Research Progress on Citation Analysis of Scientific Papers %0 Journal Article %D 2022 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2021.1000 %P 1-15 %V 6 %N 4 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_5322.shtml} %8 2022-04-25 %X

[Objective] This paper reviews the research progress of citation content analysis in recent years and clarifies the research direction and technology development trend. [Coverage] HowNet, Scopus, Semantic Scholar, and other search platforms are used to search papers with keywords such as “citation full text”, “citation context”, “citation content” and so on, and manual screening is conducted. [Methods] Research on citation analysis is summarized and compared from four aspects: discrimination of relevant concepts, main research directions, key technologies, analysis tools and platforms, and existing problems and future research directions are raised. [Results] New ideas and methods are emerging in citation content analysis research directions such as citation motivation, citation evaluation, knowledge flow, and paper recommendation. Key common technologies for citation content analysis have achieved much progress in citation extraction, citation location identification, citation sentiment analysis, and knowledge point identification. [Limitations] It mainly summarizes and analyzes the relevant research from the macro level and does not elaborate on the content in all aspects in-depth. [Conclusions] Citation content analysis has unique advantages over citation analysis. With the rapid iteration of natural language processing technology, it will have a broad development prospect.