Xu-Ran Zhao
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Cancer Research
- Oncology
- Signal Processing
- Co-authors
- Jean‐Luc DugelayNicholas EvansHajer FradiYe‐Xiong LiShulian WangYu TangYue‐Ping LiuJing Jin
- Topics
- Breast Cancer Treatment Studies (14 papers)Breast Lesions and Carcinomas (9 papers)Face and Expression Recognition (6 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Xu-Ran Zhao
26 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 125
- Artificial Intelligence 90
- Cancer Research 60
- Oncology 59
- Signal Processing 32
Countries citing papers authored by Xu-Ran Zhao
This map shows the geographic impact of Xu-Ran 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 Xu-Ran Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu-Ran Zhao more than expected).
Fields of papers citing papers by Xu-Ran Zhao
This network shows the impact of papers produced by Xu-Ran 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 Xu-Ran Zhao. The network helps show where Xu-Ran Zhao may publish in the future.
Co-authorship network of co-authors of Xu-Ran Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Xu-Ran Zhao. A scholar is included among the top collaborators of Xu-Ran 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 Xu-Ran Zhao. Xu-Ran 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 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 45 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | Multi-view semi-supervised discriminant analysis: A new approach to audio-visual person recognition | 5 |
| 20 | A co-training approach to automatic face recognition | 5 |
About Xu-Ran Zhao
Xu-Ran Zhao is a scholar working on Cancer Research, Pathology and Forensic Medicine and Signal Processing, having authored 28 papers that have together received 281 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (9 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Cancer Research (60 citations) and Signal Processing (32 citations). Xu-Ran Zhao has collaborated with scholars based in China, France and United States. Frequent co-authors include Jean‐Luc Dugelay, Nicholas Evans, Hajer Fradi, Ye‐Xiong Li, Shulian Wang, Yu Tang, Yue‐Ping Liu, Jing Jin, Yong-Wen Song and Hui Fang. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.
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.