Fei Yang

66 papers and 478 indexed citations i.

About

Fei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fei Yang has authored 66 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fei Yang’s work include Medical Image Segmentation Techniques (11 papers), Computer Graphics and Visualization Techniques (10 papers) and 3D Shape Modeling and Analysis (9 papers). Fei Yang is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Computer Graphics and Visualization Techniques (10 papers) and 3D Shape Modeling and Analysis (9 papers). Fei Yang collaborates with scholars based in China, United States and United Kingdom. Fei Yang's co-authors include Weigang Lu, Jianxi Yang, Guiping Wang, Ren Li, Jia Li, Yingxin Zhou, Yao Zhao, Di Wang, Shikui Wei and Ya Zhang and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Fei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Yang

Since Specialization
Citations

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