Yongbao Wu
- Computer Networks and Communications top 1%
- Control and Systems Engineering top 2%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Wenxue LiJian LiuLei XueChangyin SunChoon Ki AhnGuangtao RanNallappan GunasekaranR. Vadivel
- Topics
- Neural Networks Stability and Synchronization (65 papers)Nonlinear Dynamics and Pattern Formation (45 papers)Distributed Control Multi-Agent Systems (34 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yongbao Wu
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 1.3k
- Control and Systems Engineering 474
- Statistical and Nonlinear Physics 410
- Electrical and Electronic Engineering 174
- Artificial Intelligence 134
Countries citing papers authored by Yongbao Wu
This map shows the geographic impact of Yongbao 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 Yongbao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongbao Wu more than expected).
Fields of papers citing papers by Yongbao Wu
This network shows the impact of papers produced by Yongbao 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 Yongbao Wu. The network helps show where Yongbao Wu may publish in the future.
Co-authorship network of co-authors of Yongbao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yongbao Wu. A scholar is included among the top collaborators of Yongbao 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 Yongbao Wu. Yongbao 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 33 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 36 | |
| 17 | 8 | |
| 18 | 33 | |
| 19 | 14 | |
| 20 | 98 |
About Yongbao Wu
Yongbao Wu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (65 papers), Nonlinear Dynamics and Pattern Formation (45 papers) and Distributed Control Multi-Agent Systems (34 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Statistical and Nonlinear Physics (410 citations) and Control and Systems Engineering (474 citations). Yongbao Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wenxue Li, Jian Liu, Lei Xue, Changyin Sun, Choon Ki Ahn, Guangtao Ran, Nallappan Gunasekaran, R. Vadivel, Changda Wang and Yue Wang. Their work appears in journals such as Automatica, IEEE Transactions on Vehicular Technology and IEEE Transactions on Fuzzy 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.