Yonggui Kao
- Control and Systems Engineering top 2%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Jing XieHamid Reza KarimiChanghong WangJun HuZhenbin DuXudong ZhaoDongyan ChenPanpan Zhang
- Topics
- Stability and Control of Uncertain Systems (26 papers)Neural Networks Stability and Synchronization (23 papers)Adaptive Control of Nonlinear Systems (16 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Yonggui Kao
42 papers receiving 950 citations
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 688
- Computer Networks and Communications 535
- Artificial Intelligence 168
- Statistical and Nonlinear Physics 110
- Computational Theory and Mathematics 106
Countries citing papers authored by Yonggui Kao
This map shows the geographic impact of Yonggui Kao'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 Yonggui Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonggui Kao more than expected).
Fields of papers citing papers by Yonggui Kao
This network shows the impact of papers produced by Yonggui Kao. 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 Yonggui Kao. The network helps show where Yonggui Kao may publish in the future.
Co-authorship network of co-authors of Yonggui Kao
This figure shows the co-authorship network connecting the top 25 collaborators of Yonggui Kao. A scholar is included among the top collaborators of Yonggui Kao 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 Yonggui Kao. Yonggui Kao 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 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 35 | |
| 13 | 42 | |
| 14 | 6 | |
| 15 | 24 | |
| 16 | 12 | |
| 17 | 65 | |
| 18 | 67 | |
| 19 | 4 | |
| 20 | 13 |
About Yonggui Kao
Yonggui Kao is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 45 papers that have together received 962 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (26 papers), Neural Networks Stability and Synchronization (23 papers) and Adaptive Control of Nonlinear Systems (16 papers). The work is most often cited by research in Control and Systems Engineering (688 citations), Computer Networks and Communications (535 citations) and Statistical and Nonlinear Physics (110 citations). Yonggui Kao has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Jing Xie, Hamid Reza Karimi, Changhong Wang, Jun Hu, Zhenbin Du, Xudong Zhao, Dongyan Chen, Panpan Zhang, Lei Shi and Jian Han. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Expert Systems with Applications.
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.