Yun Li

81 papers and 983 indexed citations i.

About

Yun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yun Li has authored 81 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 16 papers in Information Systems. Recurrent topics in Yun Li’s work include Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Text and Document Classification Technologies (14 papers). Yun Li is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Text and Document Classification Technologies (14 papers). Yun Li collaborates with scholars based in China, Japan and United States. Yun Li's co-authors include Yunhao Yuan, Jipeng Qiang, Xindong Wu, Yujie Li, Seiichi Serikawa, Huimin Lu, Jianru Li, Xin Li, Yi Zhu and Zhenyu Qian and has published in prestigious journals such as Frontiers in Immunology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yun Li i

Fields of papers citing papers by Yun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yun Li. The network helps show where Yun Li may publish in the future.

Countries citing papers authored by Yun Li

Since Specialization
Citations

This map shows the geographic impact of Yun Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Li more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025