Yunpeng Wu
- Civil and Structural Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Signal Processing top 5%
- Topics
- Infrastructure Maintenance and Monitoring (19 papers)Railway Engineering and Dynamics (7 papers)Non-Destructive Testing Techniques (6 papers)
- Journals
- Scientific ReportsExpert Systems with ApplicationsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yunpeng Wu
30 papers receiving 797 citations
Peers
Comparison fields: 5 of 64
- Civil and Structural Engineering 353
- Computer Vision and Pattern Recognition 334
- Mechanical Engineering 209
- Industrial and Manufacturing Engineering 128
- Signal Processing 127
Countries citing papers authored by Yunpeng Wu
This map shows the geographic impact of Yunpeng 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 Yunpeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunpeng Wu more than expected).
Fields of papers citing papers by Yunpeng Wu
This network shows the impact of papers produced by Yunpeng 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 Yunpeng Wu. The network helps show where Yunpeng Wu may publish in the future.
Co-authorship network of co-authors of Yunpeng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunpeng Wu. A scholar is included among the top collaborators of Yunpeng Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunpeng Wu. Yunpeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 33 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 44 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 86 | |
| 19 | 1 | |
| 20 | Development of A Real-Time Shaking Map System Using Low Cost Acceleration Sensors and Its Application for Earthquake Early Warning | 1 |
About Yunpeng Wu
Yunpeng Wu is a scholar working on Civil and Structural Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 817 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (19 papers), Railway Engineering and Dynamics (7 papers) and Non-Destructive Testing Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (334 citations), Civil and Structural Engineering (353 citations) and Media Technology (116 citations). Yunpeng Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Qin, Yu Qian, Zhipeng Wang, Feng Guo, Limin Jia, Shuai Ma, Jianzhong Li, Wenfei Fan, Yinghui Wu and Nan Tang. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.
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.