Pujin Cheng
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Retinal Imaging and Analysis 13
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- Digital Imaging for Blood Diseases 3
- Co-authors
- Li Lin (18 shared papers)Xiaoying Tang (19 shared papers)Yijin Huang (13 shared papers)Junyan Lyu (11 shared papers)Xiaoying Tang (4 shared papers)Meng Li (3 shared papers)Roger Tam (3 shared papers)Kai Wang (3 shared papers)
In The Last Decade
Pujin Cheng
21 papers receiving 221 citations
Peers
Comparison fields: 5 of 39
- Ophthalmology 82
- Radiology, Nuclear Medicine and Imaging 170
- Computer Vision and Pattern Recognition 97
- Health Informatics 6
- Health Information Management 16
Countries citing papers authored by Pujin Cheng
This map shows the geographic impact of Pujin Cheng'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 Pujin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pujin Cheng more than expected).
Fields of papers citing papers by Pujin Cheng
This network shows the impact of papers produced by Pujin Cheng. 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 Pujin Cheng. The network helps show where Pujin Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Pujin Cheng, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 41 | |
| 2 | 2020 | 30 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 19 | |
| 5 | 2020 | 18 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 1 |
About Pujin Cheng
Pujin Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Biomedical Engineering, having authored 23 papers that have together received 229 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (6 papers), Glaucoma and retinal disorders (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Digital Imaging for Blood Diseases (3 papers), Ocular Surface and Contact Lens (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Ophthalmology (82 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Computer Vision and Pattern Recognition (97 citations), Health Informatics (6 citations) and Health Information Management (16 citations). Pujin Cheng has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Li Lin, Xiaoying Tang, Yijin Huang, Junyan Lyu, Xiaoying Tang, Meng Li, Roger Tam, Kai Wang, Jin Yuan and Wenhan Luo. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, npj Digital Medicine, Scientific Data and Medical Image Analysis.
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.