Fei Yang

1.4k citations
90 papers · 712 · h-index 15

Impact in

Papers in

Fei Yang

83 papers receiving 687 citations

Peers

Fei Yang
Comparison fields: 5 of 116
  • Computer Graphics and Computer-Aided Design 56
  • Computer Vision and Pattern Recognition 315
  • Media Technology 40
  • Artificial Intelligence 125
  • Computer Science Applications 20
Replace Miguel Ángel García with:
Miguel Ángel García Spain
Jim X. Chen United States
Xiaoguang Li China
Francesco Isgrò Italy
Huan Ling China
Fengxiang He China
Stéphane Lathuilière France
Jiayuan Gu China
Hanli Zhao China
Donghyun Kim South Korea
Fei Yang relative to Miguel Ángel García Spain Miguel Ángel García's profile →
Citations per field
00.5×6.2×
Miguel Ángel García · 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 202180
2 201960
3 201956
4 201845
5 201526
6 202123
7 202022
8 200922
9 200221
10 201121
11 201019
12 201516
13 202115
14 201715
15 201914
16 201710
17 20209
18 20059
19 20238
20 20088

About Fei Yang

Fei Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 712 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 (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (7 papers), Advanced Neural Network Applications (6 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (315 citations), Media Technology (40 citations), Artificial Intelligence (125 citations) and Computer Science Applications (20 citations). Fei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weigang Lu, Jianxi Yang, Guiping Wang, Ren Li, Jia Li, Shikui Wei, Yao Zhao, Yingxin Zhou, Wangqiao Chen and Di Wang. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering, BioMed Research International, Neurocomputing and IEEE Transactions on Visualization and Computer Graphics.

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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