He Sui
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Anomaly Detection Techniques and Applications 6
- Imbalanced Data Classification Techniques 2
- AI in cancer detection 2
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- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 2
- Ultrasound Imaging and Elastography 1
- Co-authors
- Feng Shi (5 shared papers)Dinggang Shen (3 shared papers)Liming Xia (3 shared papers)Dijia Wu (2 shared papers)Huan Yuan (2 shared papers)Zhanhao Mo (8 shared papers)Yaozong Gao (3 shared papers)Changqing Zhang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Endocrinology (2 papers)Journal of Pain Research (1 paper)Medical Image Analysis (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
He Sui
15 papers receiving 494 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 69
- Radiology, Nuclear Medicine and Imaging 312
- Artificial Intelligence 238
- Neurology 45
- Health Information Management 20
Countries citing papers authored by He Sui
This map shows the geographic impact of He 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 He Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Sui more than expected).
Fields of papers citing papers by He Sui
This network shows the impact of papers produced by He 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 He Sui. The network helps show where He Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside He 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2020 | 170 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 47 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing | 2022 | 4 |
| 13 | 2025 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About He Sui
He Sui is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Computer Vision and Pattern Recognition and Epidemiology, having authored 18 papers that have together received 511 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (4 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Imbalanced Data Classification Techniques (2 papers), Advanced MRI Techniques and Applications (2 papers), AI in cancer detection (2 papers) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (312 citations), Artificial Intelligence (238 citations), Neurology (45 citations) and Health Information Management (20 citations). He Sui has collaborated with scholars based in China and South Korea. Frequent co-authors include Feng Shi, Dinggang Shen, Liming Xia, Dijia Wu, Huan Yuan, Zhanhao Mo, Yaozong Gao, Changqing Zhang, Fuhua Yan and Fei Shan. Their work appears in journals such as Scientific Reports, Frontiers in Endocrinology, Journal of Pain Research, Medical Image Analysis and PLoS ONE.
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.