Kai He

45 papers and 550 indexed citations i.

About

Kai He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai He has authored 45 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai He’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (5 papers). Kai He is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (5 papers). Kai He collaborates with scholars based in China, Singapore and United States. Kai He's co-authors include Erik Cambria, Rui Mao, Sheldon X.-D. Tan, Chen Li, Qian Liu, Wei Li, Tieliang Gong, Xin Huang, Hai Wang and Guoyong Shi and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Kai He i

Fields of papers citing papers by Kai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai He

Since Specialization
Citations

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