Chengwei Pan
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Topic Modeling 5
- Machine Learning in Healthcare 4
- AI in cancer detection 3
-
- Medical Image Segmentation Techniques 6
- Co-authors
- Yizhou Yu (8 shared papers)Chaowei Fang (4 shared papers)Kongming Liang (3 shared papers)Jiaping Ren (1 shared paper)Ruigang Yang (1 shared paper)Qichuan Geng (1 shared paper)Dinesh Manocha (1 shared paper)Jin Fang (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Stem Cell Research & Therapy (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Complex & Intelligent Systems (2 papers)The Journal of Nutritional Biochemistry (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chengwei Pan
29 papers receiving 691 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 22
- Computer Vision and Pattern Recognition 224
- Radiology, Nuclear Medicine and Imaging 150
- Computer Graphics and Computer-Aided Design 25
- Automotive Engineering 61
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-authors
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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2021 | 93 | |
| 3 | 2020 | 73 | |
| 4 | 2023 | 61 | |
| 5 | 2019 | 54 | |
| 6 | 2022 | 45 | |
| 7 | 2022 | 36 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 27 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2025 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Chengwei Pan
Chengwei Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 36 papers that have together received 711 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Retinal Imaging and Analysis (5 papers), Topic Modeling (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Machine Learning in Healthcare (4 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (22 citations), Computer Vision and Pattern Recognition (224 citations), Radiology, Nuclear Medicine and Imaging (150 citations), Computer Graphics and Computer-Aided Design (25 citations) and Automotive Engineering (61 citations). Chengwei Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yizhou Yu, Chaowei Fang, Kongming Liang, Jiaping Ren, Ruigang Yang, Qichuan Geng, Dinesh Manocha, Jin Fang, Guoping Wang and Feilong Yan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Stem Cell Research & Therapy, IEEE Journal of Biomedical and Health Informatics, Complex & Intelligent Systems and The Journal of Nutritional Biochemistry.
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.