Li Sun
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Domain Adaptation and Few-Shot Learning 7
-
- Advanced Image and Video Retrieval Techniques 8
- Advanced Neural Network Applications 7
- Face and Expression Recognition 3
- Co-authors
- Yizhou Zhou (1 shared paper)Guoping Niu (7 shared papers)Yanhua Liu (1 shared paper)Cuntao Lu (1 shared paper)Zhihong Zhang (1 shared paper)Victoria Bae‐Jump (2 shared papers)Chunxiao Zhou (2 shared papers)Weina Zhao (1 shared paper)
- Journals
- Oncotarget (3 papers)Frontiers in Immunology (2 papers)Journal of Clinical Oncology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Immunology Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li Sun
106 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Health Informatics 54
- Cancer Research 265
- Computer Vision and Pattern Recognition 197
- Obstetrics and Gynecology 53
- Oncology 171
Countries citing papers authored by Li Sun
This map shows the geographic impact of Li 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 Li Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Sun more than expected).
Fields of papers citing papers by Li Sun
This network shows the impact of papers produced by Li 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 Li Sun. The network helps show where Li Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 126 | |
| 2 | 2018 | 106 | |
| 3 | Artificial intelligence for healthcare and medical education: a systematic review. | 2023 | 71 |
| 4 | 2022 | 63 | |
| 5 | 2016 | 51 | |
| 6 | 2019 | 43 | |
| 7 | 2018 | 43 | |
| 8 | 2014 | 39 | |
| 9 | 2017 | 39 | |
| 10 | 2015 | 38 | |
| 11 | 2016 | 34 | |
| 12 | 2019 | 34 | |
| 13 | 2022 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2020 | 29 | |
| 16 | 2017 | 29 | |
| 17 | 2015 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2015 | 25 | |
| 20 | 2012 | 24 |
About Li Sun
Li Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Oncology and Aerospace Engineering, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers), Face and Expression Recognition (3 papers), Advanced Algorithms and Applications (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Health Informatics (54 citations), Cancer Research (265 citations), Computer Vision and Pattern Recognition (197 citations), Obstetrics and Gynecology (53 citations) and Oncology (171 citations). Li Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yizhou Zhou, Guoping Niu, Yanhua Liu, Cuntao Lu, Zhihong Zhang, Victoria Bae‐Jump, Chunxiao Zhou, Weina Zhao, Changhao Yin and Qiuling Xu. Their work appears in journals such as Oncotarget, Frontiers in Immunology, Journal of Clinical Oncology, Biochemical and Biophysical Research Communications and Journal of Immunology 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.