Guile Wu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
-
- Video Surveillance and Tracking Methods 9
- Face recognition and analysis 6
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
-
- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Shaogang Gong (12 shared papers)Xiatian Zhu (4 shared papers)Wenxiong Kang (5 shared papers)Zhiyong Wang (2 shared papers)Dagan Feng (2 shared papers)Chenyang Si (1 shared paper)Yuan Ren (1 shared paper)Lan Xu (1 shared paper)
- Journals
- Pattern Recognition (3 papers)IEEE Transactions on Multimedia (2 papers)Neural Computing and Applications (1 paper)Neurocomputing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (4 papers)
- Partner nations
- United KingdomChinaSweden
In The Last Decade
Guile Wu
18 papers receiving 434 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 311
- Human-Computer Interaction 39
- Artificial Intelligence 186
- Media Technology 15
- Computational Mathematics 1
Countries citing papers authored by Guile Wu
This map shows the geographic impact of Guile 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 Guile Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guile Wu more than expected).
Fields of papers citing papers by Guile Wu
This network shows the impact of papers produced by Guile 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 Guile Wu. The network helps show where Guile Wu may publish in the future.
Co-authors
The 14 scholars most cited alongside Guile 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 87 | |
| 2 | 2021 | 58 | |
| 3 | 2020 | 55 | |
| 4 | 2021 | 48 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2021 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2017 | 23 | |
| 10 | Spatio-Temporal Associative Representation for Video Person Re-Identification. | 2019 | 8 |
| 11 | 2018 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 0 |
About Guile Wu
Guile Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 438 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Face recognition and analysis (6 papers), Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (5 papers), Hand Gesture Recognition Systems (3 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (311 citations), Human-Computer Interaction (39 citations), Artificial Intelligence (186 citations), Media Technology (15 citations) and Computational Mathematics (1 citation). Guile Wu has collaborated with scholars based in United Kingdom, China and Sweden. Frequent co-authors include Shaogang Gong, Xiatian Zhu, Wenxiong Kang, Zhiyong Wang, Dagan Feng, Chenyang Si, Yuan Ren, Lan Xu, Bingbing Liu and Yuan Ren. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, Neural Computing and Applications, Neurocomputing and Proceedings of the AAAI Conference on Artificial Intelligence.
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.