Zhe Feng

92 papers and 1.4k indexed citations i.

About

Zhe Feng is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Zhe Feng has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Zhe Feng’s work include Topic Modeling (9 papers), Auction Theory and Applications (9 papers) and Natural Language Processing Techniques (7 papers). Zhe Feng is often cited by papers focused on Topic Modeling (9 papers), Auction Theory and Applications (9 papers) and Natural Language Processing Techniques (7 papers). Zhe Feng collaborates with scholars based in China, United States and Hong Kong. Zhe Feng's co-authors include Mingjie Zhang, Xiandeng Wu, Xudong Chen, Alan Wainman, Paul T. Conduit, Lide Wu, Steven Johnson, Jordan W. Raff, Susan M. Lea and Qixu Cai and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Zhe Feng i

Fields of papers citing papers by Zhe Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhe Feng

Since Specialization
Citations

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