Yongjin Zhou
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Topics
- Muscle activation and electromyography studies (20 papers)Body Composition Measurement Techniques (8 papers)Lower Extremity Biomechanics and Pathologies (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaNanoscaleIEEE Transactions on Biomedical Engineering
In The Last Decade
Yongjin Zhou
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Biomedical Engineering 594
- Radiology, Nuclear Medicine and Imaging 477
- Computer Vision and Pattern Recognition 287
- Artificial Intelligence 200
- Cognitive Neuroscience 140
Countries citing papers authored by Yongjin Zhou
This map shows the geographic impact of Yongjin Zhou'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 Yongjin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjin Zhou more than expected).
Fields of papers citing papers by Yongjin Zhou
This network shows the impact of papers produced by Yongjin Zhou. 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 Yongjin Zhou. The network helps show where Yongjin Zhou may publish in the future.
Co-authorship network of co-authors of Yongjin Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yongjin Zhou. A scholar is included among the top collaborators of Yongjin Zhou 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 Yongjin Zhou. Yongjin Zhou 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 | 2 | |
| 3 | 9 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 43 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 29 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 11 | |
| 15 | 15 | |
| 16 | 25 | |
| 17 | 6 | |
| 18 | 43 | |
| 19 | 70 | |
| 20 | 32 |
About Yongjin Zhou
Yongjin Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction and Biomedical Engineering, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (20 papers), Body Composition Measurement Techniques (8 papers) and Lower Extremity Biomechanics and Pathologies (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (477 citations), Health Informatics (21 citations) and Computer Vision and Pattern Recognition (287 citations). Yongjin Zhou has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Yong‐Ping Zheng, Shanshan Wang, Yong Xia, Ajay Kumar, Weijian Huang, Pei Dong, Haihua Xu, Ying Lv, Jizhou Li and Jingxu Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Nanoscale and IEEE Transactions on Biomedical Engineering.
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.