Feng Yan

44 papers and 701 indexed citations i.

About

Feng Yan is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Yan has authored 44 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 15 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Yan’s work include Optical Coherence Tomography Applications (13 papers), Complex Network Analysis Techniques (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Feng Yan is often cited by papers focused on Optical Coherence Tomography Applications (13 papers), Complex Network Analysis Techniques (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Feng Yan collaborates with scholars based in China, United States and Hungary. Feng Yan's co-authors include Chun Chen, Defang Chen, Jian-Ping Mei, Can Wang, Can Wang, Zhe Wang, Yuan Zhang, Shu‐Tao Xia, Qinggong Tang and Tao Dai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

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

Fields of papers citing papers by Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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