Fei Yang

1.3k citations
90 papers · 684 indexed · h-index 14

Impact in

Papers in

Fei Yang

80 papers receiving 657 citations

Peers

Fei Yang
Comparison fields: 5 of 118
  • Computer Graphics and Computer-Aided Design 56
  • Computer Vision and Pattern Recognition 318
  • Media Technology 40
  • Artificial Intelligence 130
  • Computer Science Applications 19
Replace Stamatios Georgoulis with:
Stamatios Georgoulis Switzerland
Jim X. Chen United States
Miguel Ángel García Spain
Xiaoguang Li China
Francesco Isgrò Italy
Yuzhu Ji China
Huan Ling China
Fengxiang He China
Jiayuan Gu China
Hanli Zhao China
Fei Yang relative to Stamatios Georgoulis Switzerland Stamatios Georgoulis's profile →
Citations per field
00.5×8.5×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 201959
3 201954
4 201842
5 201526
6 202022
7 200922
8 202122
9 201121
10 200221
11 201019
12 201516
13 201715
14 202114
15 201912
16 201710
17 20059
18 20208
19 20088
20 20218

About Fei Yang

Fei Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 684 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), Advanced Vision and Imaging (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (318 citations), Media Technology (40 citations), Artificial Intelligence (130 citations) and Computer Science Applications (19 citations). Fei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weigang Lu, Ren Li, Guiping Wang, Jianxi Yang, Shikui Wei, Yao Zhao, Jia Li, Wangqiao Chen, Di Wang and Yingxin Zhou. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering, IEEE Transactions on Visualization and Computer Graphics, Neurocomputing 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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