Xin Shu
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Epidemiology
- Co-authors
- Lei ZhangYi ZhangZizhou WangQing LvLituan WangChaoyue ChenHongli DengJianguo Xu
- Topics
- AI in cancer detection (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Brain Tumor Detection and Classification (5 papers)
In The Last Decade
Xin Shu
26 papers receiving 299 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 191
- Radiology, Nuclear Medicine and Imaging 141
- Computer Vision and Pattern Recognition 86
- Neurology 58
- Epidemiology 31
Countries citing papers authored by Xin Shu
This map shows the geographic impact of Xin Shu'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 Xin Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Shu more than expected).
Fields of papers citing papers by Xin Shu
This network shows the impact of papers produced by Xin Shu. 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 Xin Shu. The network helps show where Xin Shu may publish in the future.
Co-authorship network of co-authors of Xin Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shu. A scholar is included among the top collaborators of Xin Shu 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 Xin Shu. Xin Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 21 | |
| 19 | 2 | |
| 20 | An Improved Fuzzy Support Vector Machine and Its Application to Face Recognition | 1 |
About Xin Shu
Xin Shu is a scholar working on Neurology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Health Informatics (13 citations), Neurology (58 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Xin Shu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Lei Zhang, Yi Zhang, Zizhou Wang, Qing Lv, Lituan Wang, Chaoyue Chen, Hongli Deng, Jianguo Xu, Lei Zhang and Yangqin Feng. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Cybernetics and Applied Soft Computing.
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.