Zhaonan Sun
- Health Informatics top 5%
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- Artificial Intelligence in Healthcare 5
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 6
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- Radiomics and Machine Learning in Medical Imaging 10
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- Prostate Cancer Diagnosis and Treatment 8
- Prostate Cancer Treatment and Research 5
- Automotive and Human Injury Biomechanics 4
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- Advanced X-ray and CT Imaging 6
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- Genetic Neurodegenerative Diseases 5
- Co-authors
- Manik VarmaS. V. N. VishwanathanSoumya GhoshYan LiuShuangfei ZhaiYu ChengZhengping CheXiaodong Zhang
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zhaonan Sun
49 papers receiving 791 citations
Peers
Comparison fields: 5 of 146
- Health Informatics 24
- Health Information Management 58
- Computer Vision and Pattern Recognition 152
- Artificial Intelligence 220
- Radiology, Nuclear Medicine and Imaging 133
Countries citing papers authored by Zhaonan Sun
This map shows the geographic impact of Zhaonan Sun'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 Zhaonan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaonan Sun more than expected).
Fields of papers citing papers by Zhaonan Sun
This network shows the impact of papers produced by Zhaonan Sun. 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 Zhaonan Sun. The network helps show where Zhaonan Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhaonan Sun, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 22 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 39 | |
| 15 | 2020 | 44 | |
| 16 | 2020 | 42 | |
| 17 | 2019 | 18 | |
| 18 | 2017 | 36 | |
| 19 | A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. | 2017 | 1 |
| 20 | Multiple Kernel Learning and the SMO Algorithm | 2010 | 110 |
About Zhaonan Sun
Zhaonan Sun is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 816 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Machine Learning in Healthcare (6 papers), Advanced X-ray and CT Imaging (6 papers), Genetic Neurodegenerative Diseases (5 papers), Artificial Intelligence in Healthcare (5 papers), Prostate Cancer Treatment and Research (5 papers) and Automotive and Human Injury Biomechanics (4 papers). The work is most often cited by research in Health Informatics (24 citations), Health Information Management (58 citations) and Computer Vision and Pattern Recognition (152 citations). Zhaonan Sun has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Manik Varma, S. V. N. Vishwanathan, Soumya Ghosh, Yan Liu, Shuangfei Zhai, Yu Cheng, Zhengping Che, Xiaodong Zhang, Yingpu Cui and Jianying Hu.
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.