Zhezhou Yu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Biomedical Engineering
- Co-authors
- Shuchao PangMehmet A. OrgunJuan José del CozJorge DíezOscar LuacesChunguang ZhouLibiao ZhangBilin Wang
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Image Retrieval and Classification Techniques (8 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- IEEE AccessComputer Methods and Programs in BiomedicineEngineering Applications of Artificial Intelligence
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Zhezhou Yu
20 papers receiving 266 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 94
- Radiology, Nuclear Medicine and Imaging 60
- Neurology 25
- Biomedical Engineering 22
Countries citing papers authored by Zhezhou Yu
This map shows the geographic impact of Zhezhou Yu'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 Zhezhou Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhezhou Yu more than expected).
Fields of papers citing papers by Zhezhou Yu
This network shows the impact of papers produced by Zhezhou Yu. 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 Zhezhou Yu. The network helps show where Zhezhou Yu may publish in the future.
Co-authorship network of co-authors of Zhezhou Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhezhou Yu. A scholar is included among the top collaborators of Zhezhou Yu 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 Zhezhou Yu. Zhezhou Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 62 | |
| 9 | 24 | |
| 10 | 66 | |
| 11 | 1 | |
| 12 | 43 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 0 |
About Zhezhou Yu
Zhezhou Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 22 papers that have together received 279 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Neurology (25 citations) and Artificial Intelligence (94 citations). Zhezhou Yu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Shuchao Pang, Mehmet A. Orgun, Juan José del Coz, Jorge Díez, Oscar Luaces, Chunguang Zhou, Libiao Zhang, Bilin Wang, Zhe Zhang and Zhiyuan Li. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Engineering Applications of Artificial Intelligence.
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.