Fei Yang

1.4k citations
93 papers · 751 · h-index 15

Impact in

Papers in

Fei Yang

85 papers receiving 721 citations

Peers

Fei Yang
Comparison fields: 5 of 119
  • Computer Graphics and Computer-Aided Design 59
  • Computer Vision and Pattern Recognition 336
  • Media Technology 44
  • Artificial Intelligence 130
  • Computer Science Applications 21
Replace Lorenzo Porzi with:
Lorenzo Porzi Italy
Xiaoguang Li China
Miguel Ángel García Spain
Stéphane Lathuilière France
Francesco Isgrò Italy
Huan Ling Canada
Yandong Li China
Jiayuan Gu China
Ying-Cong Chen Hong Kong
Fei Yang relative to Lorenzo Porzi Italy Lorenzo Porzi's profile →
Citations per field
00.5×4.2×
Lorenzo Porzi · 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 201963
3 201957
4 201850
5 202026
6 201526
7 200224
8 200923
9 202123
10 201122
11 201519
12 201019
13 202118
14 201716
15 201914
16 201712
17 200810
18 202010
19 200510
20 20238

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 93 papers that have together received 751 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 Image and Video Retrieval Techniques (9 papers), Cardiac electrophysiology and arrhythmias (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 (59 citations), Computer Vision and Pattern Recognition (336 citations), Media Technology (44 citations), Artificial Intelligence (130 citations) and Computer Science Applications (21 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, Ya Zhang, Yao Zhao, Jia Li, Shikui Wei, Yingxin Zhou and Wangqiao Chen. Their work appears in journals such as Computers & Electrical Engineering, IEEE Access, BioMed Research International, IEEE Transactions on Visualization and Computer Graphics 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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