Juan Yao
- Control and Systems Engineering top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Jun‐e FengWeiqun WangL. ZhangYun ZouShuxia YeKunpeng WangMin MengLin Sun
- Topics
- Stability and Control of Uncertain Systems (16 papers)Neural Networks Stability and Synchronization (9 papers)Matrix Theory and Algorithms (6 papers)
- Cited by
- Computational MathematicsControl and Systems EngineeringComputational Theory and Mathematics
- Journals
- Physical Review LettersIEEE Transactions on Automatic ControlJournal of the Franklin Institute
- Partner nations
- ChinaUnited KingdomPortugal
In The Last Decade
Juan Yao
35 papers receiving 367 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 190
- Molecular Biology 134
- Computer Networks and Communications 91
- Computational Theory and Mathematics 77
- Artificial Intelligence 42
Countries citing papers authored by Juan Yao
This map shows the geographic impact of Juan Yao'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 Juan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Yao more than expected).
Fields of papers citing papers by Juan Yao
This network shows the impact of papers produced by Juan Yao. 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 Juan Yao. The network helps show where Juan Yao may publish in the future.
Co-authorship network of co-authors of Juan Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Yao. A scholar is included among the top collaborators of Juan Yao 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 Juan Yao. Juan Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 51 | |
| 16 | 23 | |
| 17 | 3 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | 7 |
About Juan Yao
Juan Yao is a scholar working on Computational Mathematics, Control and Systems Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (16 papers), Neural Networks Stability and Synchronization (9 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Computational Mathematics (10 citations), Control and Systems Engineering (190 citations) and Computational Theory and Mathematics (77 citations). Juan Yao has collaborated with scholars based in China, United Kingdom and Portugal. Frequent co-authors include Jun‐e Feng, Weiqun Wang, L. Zhang, Yun Zou, Shuxia Ye, Kunpeng Wang, Min Meng, Lin Sun, Jianli Zhao and Jinfeng Pan. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Automatic Control and Journal of the Franklin Institute.
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.