Fei Yang

1.4k citations
98 papers · 963 · h-index 16

Impact in

Papers in

Fei Yang

89 papers receiving 928 citations

Peers

Fei Yang
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 479
  • Computer Graphics and Computer-Aided Design 61
  • Human-Computer Interaction 41
  • Media Technology 51
  • Artificial Intelligence 189
Replace Stamatios Georgoulis with:
Stamatios Georgoulis Switzerland
Stéphane Lathuilière France
Aravindh Mahendran United States
Danda Pani Paudel Switzerland
Renrui Zhang China
Yibing Zhan China
Xiaoguang Li China
Xiaojun Bi China
Maneesh Singh United States
Fei Yang relative to Stamatios Georgoulis Switzerland Stamatios Georgoulis's profile →
Citations per field
00.5×2×4×6×
Stamatios Georgoulis · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Fei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Yang Line = papers co-authored together Fei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018162
2 202180
3 201967
4 201958
5 201853
6 202027
7 201526
8 200224
9 200923
10 202123
11 201122
12 201519
13 202119
14 201019
15 201917
16 201716
17 201712
18 200811
19 202011
20 200510

About Fei Yang

Fei Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 98 papers that have together received 963 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Medical Image Segmentation Techniques (16 papers), 3D Shape Modeling and Analysis (15 papers), Cardiac electrophysiology and arrhythmias (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (7 papers), Advanced Neural Network Applications (6 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (479 citations), Computer Graphics and Computer-Aided Design (61 citations), Human-Computer Interaction (41 citations), Media Technology (51 citations) and Artificial Intelligence (189 citations). Fei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiqiang Tang, Xi Peng, Rogério Feris, Dimitrios Metaxas, Weigang Lu, Jianxi Yang, Ren Li, Guiping Wang, Shikui Wei and Yao Zhao. Their work appears in journals such as International Journal of Cardiology, IEEE Access, Computers & Electrical Engineering, BioMed Research International and International Journal of Radiation Oncology*Biology*Physics.

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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