Suyu Dong
Impact in
- Health Informatics top 10%
-
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Advanced MRI Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
-
- Cardiac Valve Diseases and Treatments 6
- Cardiovascular Function and Risk Factors 4
- Co-authors
- Gongning Luo (26 shared papers)Kuanquan Wang (21 shared papers)Henggui Zhang (10 shared papers)Shaodong Cao (7 shared papers)Wangmeng Zuo (1 shared paper)Shuo Li (6 shared papers)Ran An (1 shared paper)Wei Wang (2 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)Medical Image Analysis (3 papers)Frontiers in Cardiovascular Medicine (2 papers)Frontiers in Medicine (2 papers)Computerized Medical Imaging and Graphics (2 papers)
- Partner nations
- ChinaUnited KingdomSaudi Arabia
In The Last Decade
Suyu Dong
33 papers receiving 375 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 145
- Cardiology and Cardiovascular Medicine 131
- Health Information Management 27
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by Suyu Dong
This map shows the geographic impact of Suyu Dong'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 Suyu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyu Dong more than expected).
Fields of papers citing papers by Suyu Dong
This network shows the impact of papers produced by Suyu Dong. 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 Suyu Dong. The network helps show where Suyu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Suyu Dong, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2020 | 41 | |
| 3 | 2016 | 36 | |
| 4 | 2018 | 32 | |
| 5 | 2017 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2016 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2016 | 14 | |
| 11 | 2024 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 2 |
About Suyu Dong
Suyu Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Molecular Biology and Biomedical Engineering, having authored 37 papers that have together received 378 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Cardiac Valve Diseases and Treatments (6 papers), Advanced Neural Network Applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiovascular Function and Risk Factors (4 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Cardiology and Cardiovascular Medicine (131 citations), Health Information Management (27 citations) and Computer Vision and Pattern Recognition (82 citations). Suyu Dong has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Gongning Luo, Kuanquan Wang, Henggui Zhang, Shaodong Cao, Wangmeng Zuo, Shuo Li, Ran An, Wei Wang, Bo Chen and Qince Li. Their work appears in journals such as Briefings in Bioinformatics, Medical Image Analysis, Frontiers in Cardiovascular Medicine, Frontiers in Medicine 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.