Ye Pan
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Face recognition and analysis 4
- Advanced Vision and Imaging 4
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 2
-
- Oral health in cancer treatment 2
- Co-authors
- Xiaodong Han (3 shared papers)Zhenqian Wu (3 shared papers)Zhiming Jin (3 shared papers)Yu Wang (3 shared papers)Zhigang Wang (3 shared papers)Kailong Chen (1 shared paper)Yong Yu (1 shared paper)Cong Feng (1 shared paper)
- Journals
- Scientific Reports (2 papers)Biomedicine & Pharmacotherapy (2 papers)Annals of Vascular Surgery (1 paper)Materials & Design (1 paper)European Journal of Vascular and Endovascular Surgery (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ye Pan
30 papers receiving 333 citations
Peers
Comparison fields: 5 of 94
- Internal Medicine 34
- Otorhinolaryngology 18
- Oncology 66
- Computer Vision and Pattern Recognition 51
- Pulmonary and Respiratory Medicine 66
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 | 33 | |
| 5 | 2011 | 29 | |
| 6 | 2024 | 28 | |
| 7 | 2023 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2013 | 3 |
About Ye Pan
Ye Pan is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Control and Systems Engineering, having authored 32 papers that have together received 338 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Advanced Vision and Imaging (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Human Motion and Animation (2 papers), Advanced Image Processing Techniques (2 papers), Oral health in cancer treatment (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Internal Medicine (34 citations), Otorhinolaryngology (18 citations), Oncology (66 citations), Computer Vision and Pattern Recognition (51 citations) and Pulmonary and Respiratory Medicine (66 citations). Ye Pan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Xiaodong Han, Zhenqian Wu, Zhiming Jin, Yu Wang, Zhigang Wang, Kailong Chen, Yong Yu, Cong Feng, Bin Ji and Shuai Tan. Their work appears in journals such as Scientific Reports, Biomedicine & Pharmacotherapy, Annals of Vascular Surgery, Materials & Design and European Journal of Vascular and Endovascular Surgery.
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.