Wei Su
Impact in
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- Advanced Image Processing Techniques
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Image and Signal Denoising Methods
- Multimodal Machine Learning Applications
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 10
- Human Pose and Action Recognition 6
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- Intelligent Tutoring Systems and Adaptive Learning 8
- Domain Adaptation and Few-Shot Learning 6
- Algorithms and Data Compression 5
- Co-authors
- Yuan Yuan (2 shared papers)Dandan Ma (1 shared paper)Yun Q. Shi (1 shared paper)Nirwan Ansari (1 shared paper)Zhicheng Ni (1 shared paper)Xi Li (3 shared papers)Peihan Miao (4 shared papers)Yunlong Yu (1 shared paper)
- Journals
- Displays (4 papers)Journal of Molecular Modeling (2 papers)Expert Systems with Applications (2 papers)Journal of Cheminformatics (1 paper)Studies in Applied Mathematics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Su
63 papers receiving 542 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 299
- Media Technology 72
- Human-Computer Interaction 29
- Pharmacy 14
- Artificial Intelligence 91
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2003 | 75 | |
| 3 | 2022 | 42 | |
| 4 | 2011 | 38 | |
| 5 | 2023 | 35 | |
| 6 | 2023 | 29 | |
| 7 | 2018 | 19 | |
| 8 | 2012 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2025 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2024 | 6 |
About Wei Su
Wei Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications and Human-Computer Interaction, having authored 74 papers that have together received 576 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Mathematics, Computing, and Information Processing (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Tactile and Sensory Interactions (6 papers), Human Pose and Action Recognition (6 papers), Algorithms and Data Compression (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (299 citations), Media Technology (72 citations), Human-Computer Interaction (29 citations), Pharmacy (14 citations) and Artificial Intelligence (91 citations). Wei Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuan Yuan, Dandan Ma, Yun Q. Shi, Nirwan Ansari, Zhicheng Ni, Xi Li, Peihan Miao, Yunlong Yu, Pengyi Zhang and Yongna Yuan. Their work appears in journals such as Displays, Journal of Molecular Modeling, Expert Systems with Applications, Journal of Cheminformatics and Studies in 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.