Kehai Chen

47 papers and 539 indexed citations i.

About

Kehai Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Kehai Chen has authored 47 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Kehai Chen’s work include Natural Language Processing Techniques (40 papers), Topic Modeling (40 papers) and Multimodal Machine Learning Applications (16 papers). Kehai Chen is often cited by papers focused on Natural Language Processing Techniques (40 papers), Topic Modeling (40 papers) and Multimodal Machine Learning Applications (16 papers). Kehai Chen collaborates with scholars based in China, Japan and United States. Kehai Chen's co-authors include Rui Wang, Eiichiro Sumita, Masao Utiyama, Tiejun Zhao, Lemao Liu, Hai Zhao, Zhuosheng Zhang, Zuchao Li, Muyun Yang and Tiejun Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Fuzzy Systems and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Kehai Chen i

Fields of papers citing papers by Kehai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kehai Chen. 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 Kehai Chen. The network helps show where Kehai Chen may publish in the future.

Countries citing papers authored by Kehai Chen

Since Specialization
Citations

This map shows the geographic impact of Kehai Chen'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 Kehai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehai Chen 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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