Ying‐Shi Sun
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- Radiomics and Machine Learning in Medical Imaging 69
- MRI in cancer diagnosis 29
- Gastroenterology top 2%
- Oncology top 2%
- Colorectal Cancer Surgical Treatments 35
- Colorectal Cancer Screening and Detection 13
- Health Informatics top 5%
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- Gastric Cancer Management and Outcomes 35
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- Colorectal and Anal Carcinomas 18
- Esophageal Cancer Research and Treatment 14
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- Advanced X-ray and CT Imaging 15
- Co-authors
- Xiao-Ting LiHaitao ZhuYan‐Jie ShiLei TangYong CuiXiaopeng ZhangLin WangLin Shen
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Ying‐Shi Sun
133 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 1.9k
- Gastroenterology 223
- Oncology 994
- Health Informatics 44
- Pulmonary and Respiratory Medicine 819
Countries citing papers authored by Ying‐Shi Sun
This map shows the geographic impact of Ying‐Shi 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 Ying‐Shi Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Shi Sun more than expected).
Fields of papers citing papers by Ying‐Shi Sun
This network shows the impact of papers produced by Ying‐Shi 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 Ying‐Shi Sun. The network helps show where Ying‐Shi Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying‐Shi 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 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 11 | |
| 15 | Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancerbreakdown → | 2017 | 425 |
| 16 | 2016 | 1 | |
| 17 | 2014 | 7 | |
| 18 | 2014 | 34 | |
| 19 | AB16. RECIST criteria in the response evaluation of gastric cancer to neoadjuvant chemotherapy: Achilles’ heel? | 2013 | 1 |
| 20 | 2011 | 22 |
About Ying‐Shi Sun
Ying‐Shi Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Gastroenterology and Oncology, having authored 141 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (69 papers), Colorectal Cancer Surgical Treatments (35 papers), Gastric Cancer Management and Outcomes (35 papers), MRI in cancer diagnosis (29 papers), Colorectal and Anal Carcinomas (18 papers), Advanced X-ray and CT Imaging (15 papers), Esophageal Cancer Research and Treatment (14 papers) and Colorectal Cancer Screening and Detection (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Gastroenterology (223 citations) and Oncology (994 citations). Ying‐Shi Sun has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Xiao-Ting Li, Haitao Zhu, Yan‐Jie Shi, Lei Tang, Yong Cui, Xiaopeng Zhang, Lei Tang, Lin Wang, Lin Shen and Xiaoyan Zhang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Advanced Functional Materials.
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.