Weichen Zhang
Impact in
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- 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
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 3
- Nephrology 11
- Dialysis and Renal Disease Management 5
- Parathyroid Disorders and Treatments 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)Liuyang Zhou (1 shared paper)Howard Leung (1 shared paper)Zhiguang Liu (1 shared paper)
In The Last Decade
Weichen Zhang
89 papers receiving 1.4k citations
Weichen Zhang's Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 532
- Artificial Intelligence 474
- Cancer Research 144
- Human-Computer Interaction 45
- 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 98 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 | 376 |
| 2 | 2017 | 80 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 42 | |
| 5 | 2021 | 42 | |
| 6 | 2016 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2020 | 37 | |
| 9 | 2022 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 28 | |
| 12 | 2024 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2014 | 22 | |
| 15 | 2012 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2014 | 21 | |
| 18 | 2008 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 19 |
About Weichen Zhang
Weichen Zhang is a scholar working on Computer Vision and Pattern Recognition, Nephrology, Molecular Biology, Artificial Intelligence and Surgery, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Dialysis and Renal Disease Management (5 papers), Video Surveillance and Tracking Methods (5 papers), Parathyroid Disorders and Treatments (5 papers), Land Use and Ecosystem Services (4 papers), Advanced Neural Network Applications (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Artificial Intelligence (474 citations), Cancer Research (144 citations), Human-Computer Interaction (45 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, Liuyang Zhou, Howard Leung, Zhiguang Liu, Jinyang Guo and Wen Li. Their work appears in journals such as Medicine, BioMed Research International, Journal of Hazardous Materials, IEEE Transactions on Image Processing and Transplantation.
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.