Ye Wu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
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- Mechanical Behavior of Composites
Papers in
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- Mechanical Behavior of Composites 12
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- Cellular and Composite Structures 6
- Co-authors
- Xin Luo (4 shared papers)Xin-Shun Xu (4 shared papers)Zhen-Duo Chen (2 shared papers)Yun Wan (4 shared papers)Xiangnan He (1 shared paper)Liqiang Nie (1 shared paper)Youping Liu (4 shared papers)Jinhua Mao (1 shared paper)
- Journals
- Journal of Composite Materials (1 paper)Journal of Alloys and Compounds (1 paper)Materials Letters (1 paper)IEEE Internet of Things Journal (1 paper)Materials (1 paper)
- Partner nations
- ChinaSingaporeBangladesh
In The Last Decade
Ye Wu
29 papers receiving 315 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 150
- Mechanics of Materials 78
- Civil and Structural Engineering 59
- Mechanical Engineering 64
- Materials Chemistry 77
Countries citing papers authored by Ye Wu
This map shows the geographic impact of Ye 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 Ye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wu more than expected).
Fields of papers citing papers by Ye Wu
This network shows the impact of papers produced by Ye 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 Ye Wu. The network helps show where Ye Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 2018 | 39 | |
| 3 | 2018 | 25 | |
| 4 | 2019 | 24 | |
| 5 | 1997 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2011 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Ye Wu
Ye Wu is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 318 indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (12 papers), Cellular and Composite Structures (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), High-Velocity Impact and Material Behavior (3 papers), Multimodal Machine Learning Applications (3 papers), Concrete Corrosion and Durability (3 papers), Video Surveillance and Tracking Methods (3 papers) and Structural Response to Dynamic Loads (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Mechanics of Materials (78 citations), Civil and Structural Engineering (59 citations), Mechanical Engineering (64 citations) and Materials Chemistry (77 citations). Ye Wu has collaborated with scholars based in China, Singapore and Bangladesh. Frequent co-authors include Xin Luo, Xin-Shun Xu, Zhen-Duo Chen, Yun Wan, Xiangnan He, Liqiang Nie, Youping Liu, Jinhua Mao, Yao Li and Lei Shang. Their work appears in journals such as Journal of Composite Materials, Journal of Alloys and Compounds, Materials Letters, IEEE Internet of Things Journal and Materials.
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.