Fei Yan

65 papers and 1.2k indexed citations i.

About

Fei Yan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fei Yan has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fei Yan’s work include Quantum Computing Algorithms and Architecture (43 papers), Quantum Information and Cryptography (35 papers) and Quantum-Dot Cellular Automata (12 papers). Fei Yan is often cited by papers focused on Quantum Computing Algorithms and Architecture (43 papers), Quantum Information and Cryptography (35 papers) and Quantum-Dot Cellular Automata (12 papers). Fei Yan collaborates with scholars based in China, Japan and Saudi Arabia. Fei Yan's co-authors include Abdullah M. Iliyasu, Salvador E. Venegas-Andraca, Kaoru Hirota, Fangyan Dong, Bo Sun, Phuc Q. Le, Huamin Yang, Zhengang Jiang, Kaoru Hirota and Witold Pedrycz and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Expert Systems with Applications.

In The Last Decade

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

Fields of papers citing papers by Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Yan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025