Si Wu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Photoreceptor and optogenetics research 5
- Neurobiology and Insect Physiology Research 3
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- Neural dynamics and brain function 10
- Visual perception and processing mechanisms 3
- Co-authors
- Hau−San Wong (10 shared papers)Wenming Cao (3 shared papers)Rui Li (3 shared papers)Qianfen Jiao (2 shared papers)Nanxin Li (1 shared paper)Hongxiao Jia (1 shared paper)Qingxuan Meng (1 shared paper)Shuchang He (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Neurocomputing (2 papers)Cell Reports (1 paper)Journal of Neuroscience (1 paper)Wireless Networks (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Si Wu
27 papers receiving 685 citations
Si Wu's Hit Papers
Peers
Comparison fields: 5 of 91
- Behavioral Neuroscience 47
- Computer Vision and Pattern Recognition 266
- Biological Psychiatry 25
- Artificial Intelligence 308
- Cellular and Molecular Neuroscience 123
Countries citing papers authored by Si Wu
This map shows the geographic impact of Si Wu'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 Si Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wu more than expected).
Fields of papers citing papers by Si Wu
This network shows the impact of papers produced by Si Wu. 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 Si Wu. The network helps show where Si Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Wu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Model Adaptation: Unsupervised Domain Adaptation Without Source Data Hit paper breakdown → | 2020 | 339 |
| 2 | 2009 | 89 | |
| 3 | 2014 | 78 | |
| 4 | 2020 | 43 | |
| 5 | 2001 | 31 | |
| 6 | 2014 | 22 | |
| 7 | 2016 | 16 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2002 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 3 |
About Si Wu
Si Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 34 papers that have together received 691 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Photoreceptor and optogenetics research (5 papers), Multimodal Machine Learning Applications (4 papers), Visual perception and processing mechanisms (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (47 citations), Computer Vision and Pattern Recognition (266 citations), Biological Psychiatry (25 citations), Artificial Intelligence (308 citations) and Cellular and Molecular Neuroscience (123 citations). Si Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hau−San Wong, Wenming Cao, Rui Li, Qianfen Jiao, Nanxin Li, Hongxiao Jia, Qingxuan Meng, Shuchang He, K. Y. Michael Wong and Massimo Mantegazza. Their work appears in journals such as Pattern Recognition, Neurocomputing, Cell Reports, Journal of Neuroscience and Wireless Networks.
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.