Weichen Zhang
Impact in
-
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
- Surgery 13
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- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 5
- Co-authors
- Dong Xu (5 shared papers)Wanli Ouyang (5 shared papers)Wen Li (2 shared papers)Antoni B. Chan (4 shared papers)Shusen Zheng (10 shared papers)Jinyang Guo (1 shared paper)Zhiguang Liu (1 shared paper)Liuyang Zhou (1 shared paper)
In The Last Decade
Weichen Zhang
87 papers receiving 1.3k citations
Weichen Zhang's Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 487
- Artificial Intelligence 430
- Cancer Research 166
- Human-Computer Interaction 40
- Nephrology 43
Countries citing papers authored by Weichen Zhang
This map shows the geographic impact of Weichen 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 Weichen Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Zhang more than expected).
Fields of papers citing papers by Weichen Zhang
This network shows the impact of papers produced by Weichen 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 Weichen Zhang. The network helps show where Weichen Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Collaborative and Adversarial Network for Unsupervised Domain Adaptation Hit paper breakdown → | 2018 | 335 |
| 2 | 2017 | 68 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 42 | |
| 5 | 2016 | 39 | |
| 6 | 2016 | 39 | |
| 7 | 2020 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2022 | 29 | |
| 10 | 2016 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2024 | 23 | |
| 14 | 2014 | 21 | |
| 15 | 2012 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2008 | 21 | |
| 18 | 2014 | 20 | |
| 19 | 2023 | 18 | |
| 20 | 2021 | 18 |
About Weichen Zhang
Weichen Zhang is a scholar working on Surgery, Computer Vision and Pattern Recognition, Molecular Biology, Nephrology and Physiology, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Dialysis and Renal Disease Management (6 papers), Video Surveillance and Tracking Methods (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Parathyroid Disorders and Treatments (5 papers), Land Use and Ecosystem Services (4 papers), Central Venous Catheters and Hemodialysis (4 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (487 citations), Artificial Intelligence (430 citations), Cancer Research (166 citations), Human-Computer Interaction (40 citations) and Nephrology (43 citations). Weichen Zhang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Dong Xu, Wanli Ouyang, Wen Li, Antoni B. Chan, Shusen Zheng, Jinyang Guo, Zhiguang Liu, Liuyang Zhou, Howard Leung and Wen Li. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Hazardous Materials, BioMed Research International, Blood Purification and Medicine.
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.