Fei Zhu

84 papers and 1.4k indexed citations i.

About

Fei Zhu is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Fei Zhu has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 29 papers in Molecular Biology and 17 papers in Computational Theory and Mathematics. Recurrent topics in Fei Zhu’s work include Reinforcement Learning in Robotics (19 papers), Computational Drug Discovery Methods (13 papers) and Machine Learning in Bioinformatics (9 papers). Fei Zhu is often cited by papers focused on Reinforcement Learning in Robotics (19 papers), Computational Drug Discovery Methods (13 papers) and Machine Learning in Bioinformatics (9 papers). Fei Zhu collaborates with scholars based in China, United Kingdom and Canada. Fei Zhu's co-authors include Bairong Shen, Quan Liu, Fei Ye, Seth G. N. Grant, Noboru H. Komiyama, René Frank, Wanwipa Vongsangnak, Javier DeFelipe, Maksym V. Kopanitsa and Ruth Benavides‐Piccione and has published in prestigious journals such as Neuron, Nature Communications and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Fei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Zhu

Since Specialization
Citations

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