Ying‐Shi Sun
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 5%
- Biomedical Engineering top 10%
- Co-authors
- Xiao-Ting LiHaitao ZhuYan‐Jie ShiLei TangYong CuiXiaopeng ZhangLin WangLin Shen
- Topics
- Radiomics and Machine Learning in Medical Imaging (69 papers)Colorectal Cancer Surgical Treatments (35 papers)Gastric Cancer Management and Outcomes (35 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaAdvanced Functional Materials
- 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
- Oncology 994
- Pulmonary and Respiratory Medicine 819
- Surgery 544
- Biomedical Engineering 349
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 of co-authors of Ying‐Shi Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Shi Sun. A scholar is included among the top collaborators of Ying‐Shi Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Shi Sun. Ying‐Shi Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancerbreakdown → | 425 |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 34 | |
| 19 | AB16. RECIST criteria in the response evaluation of gastric cancer to neoadjuvant chemotherapy: Achilles’ heel? | 1 |
| 20 | 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) and Gastric Cancer Management and Outcomes (35 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.