Yonghong Wu
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Zhi‐Hong GuanGang FengBin HuGuang LingQiang LaiZhao ZhangFeng LiuDingxin He
- Topics
- Neural Networks Stability and Synchronization (17 papers)Distributed Control Multi-Agent Systems (16 papers)Nonlinear Dynamics and Pattern Formation (6 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Yonghong Wu
29 papers receiving 479 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 376
- Control and Systems Engineering 158
- Statistical and Nonlinear Physics 118
- Public Health, Environmental and Occupational Health 65
- Molecular Biology 41
Countries citing papers authored by Yonghong Wu
This map shows the geographic impact of Yonghong 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 Yonghong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghong Wu more than expected).
Fields of papers citing papers by Yonghong Wu
This network shows the impact of papers produced by Yonghong 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 Yonghong Wu. The network helps show where Yonghong Wu may publish in the future.
Co-authorship network of co-authors of Yonghong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Wu. A scholar is included among the top collaborators of Yonghong 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 Yonghong Wu. Yonghong 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 | 7 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 35 | |
| 11 | 25 | |
| 12 | 43 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 35 | |
| 20 | 97 |
About Yonghong Wu
Yonghong Wu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 31 papers that have together received 485 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Distributed Control Multi-Agent Systems (16 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Computer Networks and Communications (376 citations), Statistical and Nonlinear Physics (118 citations) and Control and Systems Engineering (158 citations). Yonghong Wu has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Zhi‐Hong Guan, Gang Feng, Bin Hu, Guang Ling, Qiang Lai, Zhao Zhang, Feng Liu, Dingxin He, Ming Chi and Ming‐Feng Ge. Their work appears in journals such as PLoS ONE, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.