Sunan Cui
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 2
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- AI in cancer detection 3
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Issam El Naqa (12 shared papers)Randall K. Ten Haken (10 shared papers)Yi Luo (7 shared papers)H. Eric Tseng (5 shared papers)Lise Wei (5 shared papers)Jen‐Tzung Chien (1 shared paper)Dipesh Niraula (3 shared papers)Stephen R. Bowen (1 shared paper)
- Journals
- Medical Physics (4 papers)British Journal of Radiology (3 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Radiotherapy and Oncology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesHong KongBelgium
In The Last Decade
Sunan Cui
19 papers receiving 620 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 90
- Radiology, Nuclear Medicine and Imaging 318
- Radiation 114
- Artificial Intelligence 151
- Health Information Management 19
Countries citing papers authored by Sunan Cui
This map shows the geographic impact of Sunan Cui'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 Sunan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunan Cui more than expected).
Fields of papers citing papers by Sunan Cui
This network shows the impact of papers produced by Sunan Cui. 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 Sunan Cui. The network helps show where Sunan Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunan Cui, 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 | 2017 | 160 | |
| 2 | 2020 | 91 | |
| 3 | 2019 | 81 | |
| 4 | 2023 | 75 | |
| 5 | 2021 | 50 | |
| 6 | 2018 | 49 | |
| 7 | 2019 | 43 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Sunan Cui
Sunan Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiation and Health Informatics, having authored 20 papers that have together received 639 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced Radiotherapy Techniques (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), AI in cancer detection (3 papers), Cancer Genomics and Diagnostics (2 papers), Medical Imaging Techniques and Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (90 citations), Radiology, Nuclear Medicine and Imaging (318 citations), Radiation (114 citations), Artificial Intelligence (151 citations) and Health Information Management (19 citations). Sunan Cui has collaborated with scholars based in United States, Hong Kong and Belgium. Frequent co-authors include Issam El Naqa, Randall K. Ten Haken, Yi Luo, H. Eric Tseng, Lise Wei, Jen‐Tzung Chien, Dipesh Niraula, Stephen R. Bowen, Issam M. El Naqa and Yi Luo. Their work appears in journals such as Medical Physics, British Journal of Radiology, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology and Clinical Cancer Research.
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.