S. Kevin Zhou
- Computer Vision and Pattern Recognition top 0.2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Biomedical Engineering top 2%
- Signal Processing top 2%
- Co-authors
- Rama ChellappaDorin ComaniciuB. MoghaddamHui DingBo ZhouVolker KruegerLi XiaoJingdan Zhang
- Topics
- Medical Image Segmentation Techniques (35 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)Advanced Neural Network Applications (22 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Journals
- Nature CommunicationsThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaGermany
In The Last Decade
S. Kevin Zhou
174 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 2.6k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Artificial Intelligence 1.1k
- Biomedical Engineering 990
- Signal Processing 289
Countries citing papers authored by S. Kevin Zhou
This map shows the geographic impact of S. Kevin 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 S. Kevin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kevin Zhou more than expected).
Fields of papers citing papers by S. Kevin Zhou
This network shows the impact of papers produced by S. Kevin 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 S. Kevin Zhou. The network helps show where S. Kevin Zhou may publish in the future.
Co-authorship network of co-authors of S. Kevin Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kevin Zhou. A scholar is included among the top collaborators of S. Kevin 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 S. Kevin Zhou. S. Kevin 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches | 17 |
| 20 | Learning Discriminative Distance Functions for Case Retrieval and Decision Support. | 3 |
About S. Kevin Zhou
S. Kevin Zhou is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 197 papers that have together received 4.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Advanced Neural Network Applications (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Health Informatics (67 citations). S. Kevin Zhou has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Rama Chellappa, Dorin Comaniciu, B. Moghaddam, Hui Ding, Bo Zhou, Volker Krueger, Li Xiao, Jingdan Zhang, Hu Han and Bogdan Georgescu. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.