Yingfeng Chen

22 papers and 900 indexed citations i.

About

Yingfeng Chen is a scholar working on Artificial Intelligence, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Yingfeng Chen has authored 22 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Economics and Econometrics. Recurrent topics in Yingfeng Chen’s work include Reinforcement Learning in Robotics (9 papers), Artificial Intelligence in Games (4 papers) and Software Engineering Research (2 papers). Yingfeng Chen is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Artificial Intelligence in Games (4 papers) and Software Engineering Research (2 papers). Yingfeng Chen collaborates with scholars based in China, United States and Japan. Yingfeng Chen's co-authors include Craig E. Cameron, Kevin D. Raney, Luyun Huang, Jungwook Hwang, Jamie J. Arnold, Michele R.S. Hargittai, Suresh D. Sharma, Rob Knight, Scott T. Kelley and Austin D. Swafford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Yingfeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingfeng Chen

Since Specialization
Citations

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