Xiaodan Sui
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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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 8
- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
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- Medical Image Segmentation Techniques 3
- Co-authors
- Yuanjie Zheng (16 shared papers)Shaoting Zhang (2 shared papers)Yanyun Jiang (11 shared papers)Benzheng Wei (1 shared paper)Xuemei Pan (1 shared paper)Hongsheng Bi (1 shared paper)Jianfeng Wu (1 shared paper)Baohai Liu (4 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Frontiers in Oncology (2 papers)NeuroImage (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Computerized Medical Imaging and Graphics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaodan Sui
25 papers receiving 401 citations
Peers
Comparison fields: 5 of 91
- Ophthalmology 61
- Radiology, Nuclear Medicine and Imaging 135
- Computer Vision and Pattern Recognition 95
- Geriatrics and Gerontology 8
- Pharmacology 16
Countries citing papers authored by Xiaodan Sui
This map shows the geographic impact of Xiaodan Sui'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 Xiaodan Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Sui more than expected).
Fields of papers citing papers by Xiaodan Sui
This network shows the impact of papers produced by Xiaodan Sui. 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 Xiaodan Sui. The network helps show where Xiaodan Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Sui, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2021 | 55 | |
| 3 | 2018 | 43 | |
| 4 | 2018 | 40 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 21 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | Screening for Glaucoma from Fundus Images via Multitask Deep Learning | 2020 | 1 |
About Xiaodan Sui
Xiaodan Sui is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Surgery, having authored 26 papers that have together received 405 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), AI in cancer detection (6 papers), Glaucoma and retinal disorders (5 papers), Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Retinal Diseases and Treatments (3 papers), Medical Imaging Techniques and Applications (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Ophthalmology (61 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Computer Vision and Pattern Recognition (95 citations), Geriatrics and Gerontology (8 citations) and Pharmacology (16 citations). Xiaodan Sui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanjie Zheng, Shaoting Zhang, Yanyun Jiang, Benzheng Wei, Xuemei Pan, Hongsheng Bi, Jianfeng Wu, Baohai Liu, Xuehua Piao and Yanrong Li. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Oncology, NeuroImage, Investigative Ophthalmology & Visual Science and Computerized Medical Imaging and Graphics.
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.