Can Zhao
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Jerry L. PrinceAaron CarassBlake E. DeweyPeter A. CalabresiDzung L. PhamJunghoon LeeHeran YangZongben Xu
- Topics
- Medical Image Segmentation Techniques (7 papers)Computational Drug Discovery Methods (6 papers)Image and Signal Denoising Methods (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Can Zhao
43 papers receiving 847 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 373
- Radiology, Nuclear Medicine and Imaging 370
- Artificial Intelligence 179
- Biomedical Engineering 137
- Computer Networks and Communications 60
Countries citing papers authored by Can Zhao
This map shows the geographic impact of Can Zhao'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 Can Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Zhao more than expected).
Fields of papers citing papers by Can Zhao
This network shows the impact of papers produced by Can Zhao. 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 Can Zhao. The network helps show where Can Zhao may publish in the future.
Co-authorship network of co-authors of Can Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Can Zhao. A scholar is included among the top collaborators of Can Zhao 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 Can Zhao. Can Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 54 | |
| 10 | 19 | |
| 11 | 136 | |
| 12 | 7 | |
| 13 | 29 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 38 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 4 |
About Can Zhao
Can Zhao is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 857 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Computational Drug Discovery Methods (6 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (373 citations), Radiology, Nuclear Medicine and Imaging (370 citations) and Health Informatics (18 citations). Can Zhao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jerry L. Prince, Aaron Carass, Blake E. Dewey, Peter A. Calabresi, Dzung L. Pham, Junghoon Lee, Heran Yang, Zongben Xu, Jian Sun and Daniel S. Reich. Their work appears in journals such as Critical Care Medicine, IEEE Transactions on Medical Imaging and Information Sciences.
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.