Fuxiang Wu
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Multimodal Machine Learning Applications 8
- Generative Adversarial Networks and Image Synthesis 5
- Advanced Image and Video Retrieval Techniques 3
- Image Enhancement Techniques 2
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- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Jun Cheng (17 shared papers)Lei Wang (3 shared papers)Bo Wei (2 shared papers)Jin Zhang (2 shared papers)Qieshi Zhang (9 shared papers)Dapeng Tao (2 shared papers)Syed Wajid Ali Shah (1 shared paper)Hui Huang (1 shared paper)
In The Last Decade
Fuxiang Wu
21 papers receiving 424 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 265
- Signal Processing 59
- Computer Graphics and Computer-Aided Design 17
- Media Technology 29
- Human-Computer Interaction 16
Countries citing papers authored by Fuxiang Wu
This map shows the geographic impact of Fuxiang 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 Fuxiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuxiang Wu more than expected).
Fields of papers citing papers by Fuxiang Wu
This network shows the impact of papers produced by Fuxiang 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 Fuxiang Wu. The network helps show where Fuxiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuxiang 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 50 | |
| 4 | 2019 | 43 | |
| 5 | 2023 | 31 | |
| 6 | 2021 | 25 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2015 | 1 |
About Fuxiang Wu
Fuxiang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Geology and Computational Mechanics, having authored 25 papers that have together received 427 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Indoor and Outdoor Localization Technologies (4 papers), Natural Language Processing Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (265 citations), Signal Processing (59 citations), Computer Graphics and Computer-Aided Design (17 citations), Media Technology (29 citations) and Human-Computer Interaction (16 citations). Fuxiang Wu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jun Cheng, Lei Wang, Bo Wei, Jin Zhang, Qieshi Zhang, Dapeng Tao, Syed Wajid Ali Shah, Hui Huang, Fusheng Hao and MengChu Zhou. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Multimedia, Neurocomputing, Pattern Recognition Letters and IEEE Signal Processing Letters.
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.