Feng Tan

16 papers and 274 indexed citations i.

About

Feng Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Tan has authored 16 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Tan’s work include Formal Methods in Verification (4 papers), Face and Expression Recognition (3 papers) and Evolutionary Algorithms and Applications (2 papers). Feng Tan is often cited by papers focused on Formal Methods in Verification (4 papers), Face and Expression Recognition (3 papers) and Evolutionary Algorithms and Applications (2 papers). Feng Tan collaborates with scholars based in China, United States and Hong Kong. Feng Tan's co-authors include Anu G. Bourgeois, Yanqing Zhang, Qixin Wang, Lei Bu, Xue Liu, Jiannong Cao, Yanqing Zhang, Tao Li, Neeraj Suri and Tao Li and has published in prestigious journals such as Scientific Reports, Geophysics and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Feng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Tan

Since Specialization
Citations

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