Pan Su
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Retinal Imaging and Analysis
- Corneal surgery and disorders
Papers in
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- Fuzzy Logic and Control Systems 7
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- Retinal Imaging and Analysis 6
- Corneal surgery and disorders 5
- Co-authors
- Tianhua Chen (17 shared papers)Yitian Zhao (16 shared papers)Qiang Shen (10 shared papers)Changjing Shang (10 shared papers)Jiang Liu (11 shared papers)Yalin Zheng (9 shared papers)Yonghuai Liu (6 shared papers)Jun Cheng (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)IEEE Access (2 papers)Artificial Intelligence in Medicine (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Medical Physics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Pan Su
29 papers receiving 609 citations
Pan Su's Hit Papers
Peers
Comparison fields: 5 of 95
- Ophthalmology 145
- Radiology, Nuclear Medicine and Imaging 287
- Computer Vision and Pattern Recognition 171
- Health Informatics 11
- Health Information Management 28
Countries citing papers authored by Pan Su
This map shows the geographic impact of Pan Su'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 Pan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Su more than expected).
Fields of papers citing papers by Pan Su
This network shows the impact of papers produced by Pan Su. 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 Pan Su. The network helps show where Pan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Su, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CS Hit paper breakdown → | 2020 | 240 |
| 2 | 2018 | 48 | |
| 3 | 2020 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 30 | |
| 6 | 2015 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2021 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2022 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2023 | 2 |
About Pan Su
Pan Su is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 29 papers that have together received 620 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (7 papers), Retinal Imaging and Analysis (6 papers), Ocular Surface and Contact Lens (5 papers), Corneal surgery and disorders (5 papers), Glaucoma and retinal disorders (4 papers), Rough Sets and Fuzzy Logic (4 papers), Multi-Criteria Decision Making (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Ophthalmology (145 citations), Radiology, Nuclear Medicine and Imaging (287 citations), Computer Vision and Pattern Recognition (171 citations), Health Informatics (11 citations) and Health Information Management (28 citations). Pan Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tianhua Chen, Yitian Zhao, Qiang Shen, Changjing Shang, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jun Cheng, Lei Mou and Masahiro Akïba. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Access, Artificial Intelligence in Medicine, International Journal of Machine Learning and Cybernetics and Medical Physics.
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.