Sanli Yi
Impact in
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Ophthalmology top 10%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
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- Retinal Imaging and Analysis 12
- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 6
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- Medical Image Segmentation Techniques 6
- Digital Imaging for Blood Diseases 6
- Co-authors
- Jianfeng He (5 shared papers)Tianwei Wang (2 shared papers)Xin Xiong (1 shared paper)Lunzhao Yi (2 shared papers)Ziyan Chen (4 shared papers)Gang Zhang (2 shared papers)Xiaomao Luo (3 shared papers)Jianfeng He (6 shared papers)
- Journals
- Biomedical Signal Processing and Control (6 papers)Heliyon (2 papers)Physics in Medicine and Biology (2 papers)Frontiers in Neuroscience (2 papers)Journal of King Saud University - Computer and Information Sciences (2 papers)
- Partner nations
- China
In The Last Decade
Sanli Yi
45 papers receiving 244 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 121
- Ophthalmology 46
- Health Information Management 18
- Computer Vision and Pattern Recognition 80
- Neurology 21
Countries citing papers authored by Sanli Yi
This map shows the geographic impact of Sanli Yi'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 Sanli Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanli Yi more than expected).
Fields of papers citing papers by Sanli Yi
This network shows the impact of papers produced by Sanli Yi. 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 Sanli Yi. The network helps show where Sanli Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanli Yi, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2024 | 25 | |
| 3 | 2022 | 15 | |
| 4 | 2021 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2022 | 4 |
About Sanli Yi
Sanli Yi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Ophthalmology and Media Technology, having authored 57 papers that have together received 255 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Image Segmentation Techniques (6 papers), Digital Imaging for Blood Diseases (6 papers), COVID-19 diagnosis using AI (6 papers), Image Processing Techniques and Applications (5 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (121 citations), Ophthalmology (46 citations), Health Information Management (18 citations), Computer Vision and Pattern Recognition (80 citations) and Neurology (21 citations). Sanli Yi has collaborated with scholars based in China. Frequent co-authors include Jianfeng He, Tianwei Wang, Xin Xiong, Lunzhao Yi, Ziyan Chen, Gang Zhang, Xiaomao Luo, Jianfeng He, Yan Xiang and Ying Gu. Their work appears in journals such as Biomedical Signal Processing and Control, Heliyon, Physics in Medicine and Biology, Frontiers in Neuroscience and Journal of King Saud University - Computer and Information Sciences.
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.