Li Lin
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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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 15
- Radiomics and Machine Learning in Medical Imaging 6
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- Medical Image Segmentation Techniques 6
- Co-authors
- Pujin Cheng (20 shared papers)Xiaoying Tang (18 shared papers)Yijin Huang (11 shared papers)Junyan Lyu (7 shared papers)Xiaoying Tang (6 shared papers)Jin Yuan (3 shared papers)Chengliang Liu (1 shared paper)Meng Li (3 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Scientific Reports (1 paper)Medical Image Analysis (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Li Lin
43 papers receiving 384 citations
Peers
Comparison fields: 5 of 72
- Ophthalmology 87
- Radiology, Nuclear Medicine and Imaging 198
- Health Informatics 8
- Computer Vision and Pattern Recognition 121
- Health Information Management 22
Countries citing papers authored by Li Lin
This map shows the geographic impact of Li Lin'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 Li Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lin more than expected).
Fields of papers citing papers by Li Lin
This network shows the impact of papers produced by Li Lin. 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 Li Lin. The network helps show where Li Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Lin, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2018 | 34 | |
| 3 | 2023 | 33 | |
| 4 | 2020 | 31 | |
| 5 | 2023 | 24 | |
| 6 | 2020 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 7 |
About Li Lin
Li Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Biomedical Engineering, having authored 46 papers that have together received 395 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Retinal Diseases and Treatments (7 papers), Medical Image Segmentation Techniques (6 papers), Brain Tumor Detection and Classification (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging and Analysis (5 papers), AI in cancer detection (5 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Ophthalmology (87 citations), Radiology, Nuclear Medicine and Imaging (198 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (121 citations) and Health Information Management (22 citations). Li Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pujin Cheng, Xiaoying Tang, Yijin Huang, Junyan Lyu, Xiaoying Tang, Jin Yuan, Chengliang Liu, Meng Li, Kai Li and Kai Wang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Scientific Reports, Medical Image Analysis and IEEE Robotics and Automation Letters.
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.