Yudong Zhang
- Artificial Intelligence top 0.05%
- Computer Vision and Pattern Recognition top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Neurology top 0.02%
- Biomedical Engineering top 0.5%
- Co-authors
- Shuihua WangLenan WuGenlin JiZhengchao DongPreetha PhillipsSiyuan LuJ. M. GórrizSuresh Chandra Satapathy
- Topics
- Brain Tumor Detection and Classification (148 papers)COVID-19 diagnosis using AI (106 papers)AI in cancer detection (92 papers)
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yudong Zhang
953 papers receiving 28.1k citations
Hit Papers
Peers
Comparison fields: 5 of 227
- Artificial Intelligence 8.8k
- Computer Vision and Pattern Recognition 8.2k
- Radiology, Nuclear Medicine and Imaging 5.9k
- Neurology 5.5k
- Biomedical Engineering 3.3k
Countries citing papers authored by Yudong Zhang
This map shows the geographic impact of Yudong Zhang'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 Yudong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yudong Zhang more than expected).
Fields of papers citing papers by Yudong Zhang
This network shows the impact of papers produced by Yudong Zhang. 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 Yudong Zhang. The network helps show where Yudong Zhang may publish in the future.
Co-authorship network of co-authors of Yudong Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Yudong Zhang. A scholar is included among the top collaborators of Yudong Zhang 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 Yudong Zhang. Yudong Zhang 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 45 | |
| 13 | 35 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | Weakly supervised machine learningbreakdown → | 101 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 30 |
About Yudong Zhang
Yudong Zhang is a scholar working on Neurology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 1.0k papers that have together received 29.4k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (148 papers), COVID-19 diagnosis using AI (106 papers) and AI in cancer detection (92 papers). The work is most often cited by research in Neurology (5.5k citations), Computer Vision and Pattern Recognition (8.2k citations) and Health Informatics (411 citations). Yudong Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shuihua Wang, Lenan Wu, Genlin Ji, Zhengchao Dong, Preetha Phillips, Siyuan Lu, J. M. Górriz, Suresh Chandra Satapathy, Muhammad Attique Khan and Junding Sun. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters 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.