Yingli Sun
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- Radiation Dose and Imaging 3
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- Lung Cancer Diagnosis and Treatment 14
- Co-authors
- Xianlin Wu (1 shared paper)Dongrui Wang (1 shared paper)Ming Li (27 shared papers)Liang Jin (20 shared papers)Wei Zhao (11 shared papers)Yanqing Hua (8 shared papers)Pan Gao (8 shared papers)Jiancheng Yang (6 shared papers)
- Journals
- Frontiers in Oncology (4 papers)European Journal of Radiology (3 papers)PLoS ONE (2 papers)Clinical and Translational Medicine (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yingli Sun
54 papers receiving 1.6k citations
Yingli Sun's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 42
- Radiology, Nuclear Medicine and Imaging 464
- Cancer Research 223
- Pulmonary and Respiratory Medicine 404
- Oncology 229
Countries citing papers authored by Yingli Sun
This map shows the geographic impact of Yingli 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 Yingli Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingli Sun more than expected).
Fields of papers citing papers by Yingli Sun
This network shows the impact of papers produced by Yingli 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 Yingli Sun. The network helps show where Yingli Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingli 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response Hit paper breakdown → | 2022 | 348 |
| 2 | 2018 | 162 | |
| 3 | 2020 | 118 | |
| 4 | 2020 | 103 | |
| 5 | 2017 | 99 | |
| 6 | 2019 | 92 | |
| 7 | 2009 | 66 | |
| 8 | 2019 | 60 | |
| 9 | 2020 | 40 | |
| 10 | 2018 | 39 | |
| 11 | 2024 | 38 | |
| 12 | 2022 | 36 | |
| 13 | 2011 | 36 | |
| 14 | 2022 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2014 | 28 | |
| 17 | 2022 | 23 | |
| 18 | 2022 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2021 | 16 |
About Yingli Sun
Yingli Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Oncology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Epigenetics and DNA Methylation (5 papers), Cancer Genomics and Diagnostics (3 papers), Advanced X-ray and CT Imaging (3 papers), Immune Cell Function and Interaction (3 papers), Radiation Dose and Imaging (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Health Informatics (42 citations), Radiology, Nuclear Medicine and Imaging (464 citations), Cancer Research (223 citations), Pulmonary and Respiratory Medicine (404 citations) and Oncology (229 citations). Yingli Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xianlin Wu, Dongrui Wang, Ming Li, Liang Jin, Wei Zhao, Yanqing Hua, Pan Gao, Jiancheng Yang, Bingbing Ni and Lingyu Li. Their work appears in journals such as Frontiers in Oncology, European Journal of Radiology, PLoS ONE, Clinical and Translational Medicine and Medicine.
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.