Pei Chen
Impact in
- Ophthalmology top 5%
-
- Face and Expression Recognition
- Advanced Vision and Imaging
Papers in
-
- Face and Expression Recognition 6
- Advanced Image and Video Retrieval Techniques 6
- Advanced Vision and Imaging 6
- Advanced Steganography and Watermarking Techniques 4
- Generative Adversarial Networks and Image Synthesis 4
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- Advanced Clustering Algorithms Research 4
- Co-authors
- Liang Zhou (2 shared papers)Keming Yu (24 shared papers)David Suter (8 shared papers)Jing Zhuang (16 shared papers)Jian Ge (7 shared papers)Xiaoxiao Cai (6 shared papers)Ying Yang (8 shared papers)Yiming Ye (8 shared papers)
In The Last Decade
Pei Chen
75 papers receiving 878 citations
Peers
Comparison fields: 5 of 130
- Ophthalmology 77
- Computer Vision and Pattern Recognition 197
- Radiology, Nuclear Medicine and Imaging 131
- Artificial Intelligence 154
- Cancer Research 58
Countries citing papers authored by Pei Chen
This map shows the geographic impact of Pei Chen'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 Pei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Chen more than expected).
Fields of papers citing papers by Pei Chen
This network shows the impact of papers produced by Pei Chen. 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 Pei Chen. The network helps show where Pei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2014 | 75 | |
| 3 | 2021 | 61 | |
| 4 | 2013 | 46 | |
| 5 | 2019 | 37 | |
| 6 | 2022 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2022 | 25 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2013 | 20 | |
| 14 | 2021 | 15 | |
| 15 | 2008 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2009 | 14 |
About Pei Chen
Pei Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Control and Systems Engineering, having authored 81 papers that have together received 898 indexed citations. Recurring topics across this work include Corneal surgery and disorders (11 papers), Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Vision and Imaging (6 papers), Adaptive Control of Nonlinear Systems (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Clustering Algorithms Research (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Ophthalmology (77 citations), Computer Vision and Pattern Recognition (197 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Artificial Intelligence (154 citations) and Cancer Research (58 citations). Pei Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Liang Zhou, Keming Yu, David Suter, Jing Zhuang, Jian Ge, Xiaoxiao Cai, Ying Yang, Yiming Ye, Shengyu He and Lei Xia. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Pattern Recognition Letters, Experimental Eye Research, International Journal of Computer Vision and Translational Vision Science & Technology.
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.