Chengwei Pan
- Health Informatics top 5%
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- Medical Image Segmentation Techniques 4
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- Retinal Imaging and Analysis 4
- Radiomics and Machine Learning in Medical Imaging 3
- Automotive Engineering top 10%
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- Topic Modeling 5
- Machine Learning in Healthcare 3
- AI in cancer detection 3
- Advanced Graph Neural Networks 3
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- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Yizhou YuKongming LiangRong ZhangWei LiShuqi WangDinesh ManochaJiaping RenFeilong Yan
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Complex & Intelligent Systems (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chengwei Pan
24 papers receiving 570 citations
Peers
Comparison fields: 5 of 108
- Health Informatics 24
- Computer Vision and Pattern Recognition 184
- Computer Graphics and Computer-Aided Design 22
- Radiology, Nuclear Medicine and Imaging 116
- Automotive Engineering 59
Countries citing papers authored by Chengwei Pan
This map shows the geographic impact of Chengwei Pan'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 Chengwei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengwei Pan more than expected).
Fields of papers citing papers by Chengwei Pan
This network shows the impact of papers produced by Chengwei Pan. 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 Chengwei Pan. The network helps show where Chengwei Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chengwei Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 32 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 43 | |
| 17 | 2022 | 10 | |
| 18 | 2020 | 68 | |
| 19 | 2019 | 132 | |
| 20 | 2019 | 51 |
About Chengwei Pan
Chengwei Pan is a scholar working on Structural Biology, Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition and General Social Sciences, having authored 30 papers that have together received 588 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Medical Image Segmentation Techniques (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Retinal Imaging and Analysis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Healthcare (3 papers), AI in cancer detection (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Health Informatics (24 citations), Computer Vision and Pattern Recognition (184 citations), Computer Graphics and Computer-Aided Design (22 citations), Radiology, Nuclear Medicine and Imaging (116 citations) and Automotive Engineering (59 citations). Chengwei Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yizhou Yu, Kongming Liang, Rong Zhang, Wei Li, Shuqi Wang, Dinesh Manocha, Jiaping Ren, Feilong Yan, Yicheng Wu and Yuexin Ma. Their work appears in journals such as Complex & Intelligent Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging, Stem Cell Research & Therapy and Plant Cell & Environment.
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.