Fei Cheng

16 papers and 110 indexed citations i.

About

Fei Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Fei Cheng has authored 16 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Fei Cheng’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and COVID-19 diagnosis using AI (2 papers). Fei Cheng is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and COVID-19 diagnosis using AI (2 papers). Fei Cheng collaborates with scholars based in Japan, China and United States. Fei Cheng's co-authors include Jiangsheng Yu, Sadao Kurohashi, Daisuke Kawahara, Qianying Liu, Daojian Zeng, Heng Ji, Masayuki Asahara, Sujian Li, Ichiro Kobayashi and Kevin Duh and has published in prestigious journals such as Heliyon, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Fei Cheng i

Fields of papers citing papers by Fei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Cheng

Since Specialization
Citations

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