Fangyu Wu
Impact in
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- Business Process Modeling and Analysis
- Information Technology Governance and Strategy
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Multimodal Machine Learning Applications 5
- Face recognition and analysis 5
- Face and Expression Recognition 4
- Advanced Neural Network Applications 3
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- Service-Oriented Architecture and Web Services 4
- Co-authors
- Bailing Zhang (14 shared papers)Bailing Zhang (3 shared papers)Jeremy S. Smith (9 shared papers)S. Kumaran (3 shared papers)Shiyang Yan (6 shared papers)Anil Nigam (2 shared papers)Kamal Bhattacharya (2 shared papers)N. Caswell (1 shared paper)
- Journals
- IBM Systems Journal (4 papers)The Visual Computer (2 papers)Applied Intelligence (1 paper)Photonics (1 paper)Granular Computing (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Fangyu Wu
33 papers receiving 475 citations
Peers
Comparison fields: 5 of 85
- Management Information Systems 137
- Computer Vision and Pattern Recognition 183
- Information Systems 150
- Artificial Intelligence 164
- Media Technology 35
Countries citing papers authored by Fangyu Wu
This map shows the geographic impact of Fangyu 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 Fangyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyu Wu more than expected).
Fields of papers citing papers by Fangyu Wu
This network shows the impact of papers produced by Fangyu 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 Fangyu Wu. The network helps show where Fangyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangyu 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2007 | 73 | |
| 3 | 2023 | 55 | |
| 4 | 2019 | 39 | |
| 5 | 2005 | 39 | |
| 6 | 2007 | 30 | |
| 7 | 2004 | 26 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2003 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 1987 | 4 |
About Fangyu Wu
Fangyu Wu is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Networks and Communications and Management Information Systems, having authored 40 papers that have together received 511 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Face recognition and analysis (5 papers), Business Process Modeling and Analysis (4 papers), Service-Oriented Architecture and Web Services (4 papers), Face and Expression Recognition (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Management Information Systems (137 citations), Computer Vision and Pattern Recognition (183 citations), Information Systems (150 citations), Artificial Intelligence (164 citations) and Media Technology (35 citations). Fangyu Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Bailing Zhang, Bailing Zhang, Jeremy S. Smith, S. Kumaran, Shiyang Yan, Anil Nigam, Kamal Bhattacharya, N. Caswell, Qi Chen and Wei Wang. Their work appears in journals such as IBM Systems Journal, The Visual Computer, Applied Intelligence, Photonics and Granular Computing.
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.