Weichen Zhang
Impact in
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- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
Papers in
- Nephrology 12
- Parathyroid Disorders and Treatments 7
- Dialysis and Renal Disease Management 5
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- Human Pose and Action Recognition 5
- Co-authors
- Dong Xu (5 shared papers)Wanli Ouyang (5 shared papers)Wen Li (3 shared papers)Antoni B. Chan (5 shared papers)Sijin Li (2 shared papers)Zhiguang Liu (1 shared paper)Liuyang Zhou (1 shared paper)Howard W. H. Leung (1 shared paper)
In The Last Decade
Weichen Zhang
93 papers receiving 1.6k citations
Weichen Zhang's Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 444
- Artificial Intelligence 459
- Nephrology 60
- Environmental Chemistry 45
- Cancer Research 61
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 100 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 | 405 |
| 2 | 2015 | 144 | |
| 3 | 2017 | 86 | |
| 4 | 2020 | 64 | |
| 5 | 2021 | 46 | |
| 6 | 2019 | 42 | |
| 7 | 2016 | 41 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 34 | |
| 10 | 2022 | 32 | |
| 11 | 2024 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2019 | 28 | |
| 14 | 2012 | 24 | |
| 15 | 2014 | 23 | |
| 16 | 2023 | 23 | |
| 17 | 2024 | 23 | |
| 18 | 2008 | 21 | |
| 19 | 2014 | 21 | |
| 20 | 2016 | 21 |
About Weichen Zhang
Weichen Zhang is a scholar working on Nephrology, Computer Vision and Pattern Recognition, Hepatology, Environmental Chemistry and Physiology, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (7 papers), Dialysis and Renal Disease Management (5 papers), Human Pose and Action Recognition (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Per- and polyfluoroalkyl substances research (4 papers), Land Use and Ecosystem Services (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (444 citations), Artificial Intelligence (459 citations), Nephrology (60 citations), Environmental Chemistry (45 citations) and Cancer Research (61 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, Sijin Li, Zhiguang Liu, Liuyang Zhou, Howard W. H. Leung, Jinyang Guo and Shusen Zheng. Their work appears in journals such as Blood Purification, Environment International, IEEE Transactions on Image Processing, Nephrology Dialysis Transplantation and Journal of Hazardous Materials.
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.