Wangyu Wu
Impact in
-
- Metal and Thin Film Mechanics
-
- Plasma Diagnostics and Applications
- Electrohydrodynamics and Fluid Dynamics
Papers in
-
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 2
-
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- P A Chatterton (1 shared paper)J A Rees (1 shared paper)Jimin Xiao (6 shared papers)Xiaowei Huang (6 shared papers)Zhenhong Chen (2 shared papers)Tianhong Dai (2 shared papers)Junxia Li (1 shared paper)Fei Ma (1 shared paper)
- Journals
- Sensors (10 papers)Expert Systems with Applications (2 papers)Electronics (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Symmetry (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Wangyu Wu
25 papers receiving 198 citations
Peers
Comparison fields: 5 of 48
- Mechanics of Materials 44
- Electrical and Electronic Engineering 85
- Computer Vision and Pattern Recognition 28
- Nuclear and High Energy Physics 15
- Aerospace Engineering 17
Countries citing papers authored by Wangyu Wu
This map shows the geographic impact of Wangyu 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 Wangyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangyu Wu more than expected).
Fields of papers citing papers by Wangyu Wu
This network shows the impact of papers produced by Wangyu 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 Wangyu Wu. The network helps show where Wangyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wangyu 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 85 | |
| 2 | 2024 | 26 | |
| 3 | 2025 | 20 | |
| 4 | 2025 | 14 | |
| 5 | 2024 | 12 | |
| 6 | 2025 | 7 | |
| 7 | 2025 | 5 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 5 | |
| 10 | 2026 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2026 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2026 | 1 | |
| 17 | 2026 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Wangyu Wu
Wangyu Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Plant Science and Media Technology, having authored 43 papers that have together received 206 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Fault Detection and Control Systems (3 papers), Recommender Systems and Techniques (3 papers), Human Pose and Action Recognition (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Mechanics of Materials (44 citations), Electrical and Electronic Engineering (85 citations), Computer Vision and Pattern Recognition (28 citations), Nuclear and High Energy Physics (15 citations) and Aerospace Engineering (17 citations). Wangyu Wu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include P A Chatterton, J A Rees, Jimin Xiao, Xiaowei Huang, Zhenhong Chen, Tianhong Dai, Junxia Li, Fei Ma, Ying Chen and Fei Ma. Their work appears in journals such as Sensors, Expert Systems with Applications, Electronics, IEEE Transactions on Geoscience and Remote Sensing and Symmetry.
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.