Zhun Zhong
- Computer Vision and Pattern Recognition top 0.1%
- Biomedical Engineering top 2%
- Artificial Intelligence top 1%
- Media Technology top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Topics
- Video Surveillance and Tracking Methods (22 papers)Domain Adaptation and Few-Shot Learning (18 papers)Advanced Neural Network Applications (16 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Zhun Zhong
73 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 4.2k
- Biomedical Engineering 1.3k
- Artificial Intelligence 1.3k
- Media Technology 271
- Radiology, Nuclear Medicine and Imaging 252
Countries citing papers authored by Zhun Zhong
This map shows the geographic impact of Zhun Zhong'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 Zhun Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhun Zhong more than expected).
Fields of papers citing papers by Zhun Zhong
This network shows the impact of papers produced by Zhun Zhong. 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 Zhun Zhong. The network helps show where Zhun Zhong may publish in the future.
Co-authorship network of co-authors of Zhun Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhun Zhong. A scholar is included among the top collaborators of Zhun Zhong 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 Zhun Zhong. Zhun Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 63 | |
| 10 | 6 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 74 | |
| 14 | 9 | |
| 15 | 83 | |
| 16 | 57 | |
| 17 | 30 | |
| 18 | 88 | |
| 19 | Camera Style Adaptation for Person Re-identificationbreakdown → | 443 |
| 20 | Re-ranking Person Re-identification with k-Reciprocal Encodingbreakdown → | 1067 |
About Zhun Zhong
Zhun Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 77 papers that have together received 5.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (22 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Advanced Neural Network Applications (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.2k citations), Artificial Intelligence (1.3k citations) and Media Technology (271 citations). Zhun Zhong has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Shaozi Li, Liang Zheng, Yi Yang, Guoliang Kang, Donglin Cao, Zhiming Luo, Zhedong Zheng, Nicu Sebe, Fengxiang Yang and Yuyang Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.