Wei Su
Impact in
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- Advanced Image Processing Techniques
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
- Chaos-based Image/Signal Encryption
- Multimodal Machine Learning Applications
- Media Technology top 5%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Intelligent Tutoring Systems and Adaptive Learning 5
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- Multimodal Machine Learning Applications 10
- Human Pose and Action Recognition 5
- Co-authors
- Dandan Ma (1 shared paper)Yuan Yuan (2 shared papers)Yun Q. Shi (1 shared paper)Nirwan Ansari (1 shared paper)Zhicheng Ni (1 shared paper)Peihan Miao (4 shared papers)Xiang Zhang (2 shared papers)Jiuwen Zhang (3 shared papers)
- Journals
- Displays (4 papers)Journal of Molecular Modeling (2 papers)Expert Systems with Applications (2 papers)Emerging Microbes & Infections (1 paper)SIAM Journal on Applied Mathematics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Su
52 papers receiving 418 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 226
- Media Technology 68
- Pharmacy 13
- Endocrinology 12
- Human-Computer Interaction 12
Countries citing papers authored by Wei Su
This map shows the geographic impact of Wei Su'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 Wei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Su more than expected).
Fields of papers citing papers by Wei Su
This network shows the impact of papers produced by Wei Su. 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 Wei Su. The network helps show where Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Su, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2003 | 66 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 23 | |
| 5 | 2011 | 22 | |
| 6 | 2018 | 19 | |
| 7 | 2012 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2002 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2023 | 5 |
About Wei Su
Wei Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology and Cognitive Neuroscience, having authored 60 papers that have together received 435 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Mathematics, Computing, and Information Processing (6 papers), Human Pose and Action Recognition (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Tactile and Sensory Interactions (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Adolescent Sexual and Reproductive Health (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Media Technology (68 citations), Pharmacy (13 citations), Endocrinology (12 citations) and Human-Computer Interaction (12 citations). Wei Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dandan Ma, Yuan Yuan, Yun Q. Shi, Nirwan Ansari, Zhicheng Ni, Peihan Miao, Xiang Zhang, Jiuwen Zhang, Ruisheng Zhang and Yongna Yuan. Their work appears in journals such as Displays, Journal of Molecular Modeling, Expert Systems with Applications, Emerging Microbes & Infections and SIAM Journal on Applied Mathematics.
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.