Danli Shi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 2%
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
Papers in
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- Retinal Imaging and Analysis 31
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- Retinal and Optic Conditions 7
- Retinal Diseases and Treatments 6
- Glaucoma and retinal disorders 5
- Co-authors
- Mingguang He (48 shared papers)Weiyi Zhang (16 shared papers)Yingfeng Zheng (7 shared papers)Xueli Zhang (14 shared papers)Wei Wang (10 shared papers)Zachary Tan (7 shared papers)Xianwen Shang (19 shared papers)Zhuoting Zhu (11 shared papers)
In The Last Decade
Danli Shi
68 papers receiving 974 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 90
- Ophthalmology 210
- Radiology, Nuclear Medicine and Imaging 357
- Computer Vision and Pattern Recognition 66
- Electronic, Optical and Magnetic Materials 57
Countries citing papers authored by Danli Shi
This map shows the geographic impact of Danli Shi'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 Danli Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli Shi more than expected).
Fields of papers citing papers by Danli Shi
This network shows the impact of papers produced by Danli Shi. 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 Danli Shi. The network helps show where Danli Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danli Shi, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 76 | |
| 2 | 2022 | 57 | |
| 3 | 2016 | 53 | |
| 4 | 2022 | 47 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 37 | |
| 7 | 2024 | 36 | |
| 8 | 2020 | 36 | |
| 9 | 2024 | 32 | |
| 10 | 2024 | 29 | |
| 11 | 2024 | 28 | |
| 12 | 2024 | 27 | |
| 13 | 2023 | 27 | |
| 14 | 2023 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2023 | 21 | |
| 17 | 2024 | 21 | |
| 18 | 2024 | 20 | |
| 19 | 2025 | 19 | |
| 20 | 2021 | 18 |
About Danli Shi
Danli Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Epidemiology, Materials Chemistry and Molecular Biology, having authored 82 papers that have together received 978 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (31 papers), Retinal and Optic Conditions (7 papers), Retinal Diseases and Treatments (6 papers), Multimodal Machine Learning Applications (5 papers), Glaucoma and retinal disorders (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Health Informatics (90 citations), Ophthalmology (210 citations), Radiology, Nuclear Medicine and Imaging (357 citations), Computer Vision and Pattern Recognition (66 citations) and Electronic, Optical and Magnetic Materials (57 citations). Danli Shi has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Mingguang He, Weiyi Zhang, Yingfeng Zheng, Xueli Zhang, Wei Wang, Zachary Tan, Xianwen Shang, Zhuoting Zhu, Yu Huang and Xiaohong Yang. Their work appears in journals such as British Journal of Ophthalmology, npj Digital Medicine, Journal of Medical Internet Research, Translational Vision Science & Technology and BMC Medicine.
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.