Ye Pan
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
-
- Head and Neck Cancer Studies
Papers in
-
- Advanced Vision and Imaging 4
- Face recognition and analysis 4
- Generative Adversarial Networks and Image Synthesis 3
-
- Oral health in cancer treatment 2
- Co-authors
- Zhenqian Wu (3 shared papers)Xiaodong Han (3 shared papers)Yu Wang (3 shared papers)Zhigang Wang (3 shared papers)Zhiming Jin (3 shared papers)Yong Yu (1 shared paper)Kailong Chen (1 shared paper)Bin Ji (4 shared papers)
- Journals
- Scientific Reports (2 papers)Biomedicine & Pharmacotherapy (2 papers)Nuclear Engineering and Technology (1 paper)Annals of Vascular Surgery (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ye Pan
28 papers receiving 309 citations
Peers
Comparison fields: 5 of 99
- Internal Medicine 36
- Otorhinolaryngology 22
- Oncology 84
- Pulmonary and Respiratory Medicine 86
- Emergency Medical Services 17
Countries citing papers authored by Ye Pan
This map shows the geographic impact of Ye 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 Ye Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Pan more than expected).
Fields of papers citing papers by Ye Pan
This network shows the impact of papers produced by Ye 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 Ye Pan. The network helps show where Ye Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 53 | |
| 2 | 2012 | 35 | |
| 3 | 2013 | 35 | |
| 4 | 2004 | 32 | |
| 5 | 2011 | 29 | |
| 6 | 2024 | 23 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2015 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2013 | 3 |
About Ye Pan
Ye Pan is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Internal Medicine, Surgery and Molecular Biology, having authored 32 papers that have together received 315 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (6 papers), Advanced Vision and Imaging (4 papers), Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), 3D Shape Modeling and Analysis (2 papers), Oral health in cancer treatment (2 papers), Wound Healing and Treatments (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Internal Medicine (36 citations), Otorhinolaryngology (22 citations), Oncology (84 citations), Pulmonary and Respiratory Medicine (86 citations) and Emergency Medical Services (17 citations). Ye Pan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Zhenqian Wu, Xiaodong Han, Yu Wang, Zhigang Wang, Zhiming Jin, Yong Yu, Kailong Chen, Bin Ji, Jun Yan and Qi Zheng. Their work appears in journals such as Scientific Reports, Biomedicine & Pharmacotherapy, Nuclear Engineering and Technology, Annals of Vascular Surgery and IEEE Transactions on Image Processing.
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.