Yi Zhao
Impact in
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
Papers in
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- Neural Networks Stability and Synchronization 76
- Nonlinear Dynamics and Pattern Formation 68
- Distributed Control Multi-Agent Systems 20
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- stochastic dynamics and bifurcation 38
- Chaos control and synchronization 9
- Quantum chaos and dynamical systems 5
- Co-authors
- Jianwen Feng (63 shared papers)Jingyi Wang (49 shared papers)Chen Xu (18 shared papers)Bin Pang (2 shared papers)Kaibo Shi (7 shared papers)Xiaofeng Wu (4 shared papers)Kok Lay Teo (5 shared papers)Changzhi Wu (4 shared papers)
In The Last Decade
Yi Zhao
95 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 1.1k
- Statistical and Nonlinear Physics 568
- Control and Systems Engineering 237
- Computational Theory and Mathematics 103
- Numerical Analysis 25
Countries citing papers authored by Yi Zhao
This map shows the geographic impact of Yi Zhao'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 Yi Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Zhao more than expected).
Fields of papers citing papers by Yi Zhao
This network shows the impact of papers produced by Yi Zhao. 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 Yi Zhao. The network helps show where Yi Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2011 | 80 | |
| 3 | 2016 | 56 | |
| 4 | 2016 | 55 | |
| 5 | 2017 | 55 | |
| 6 | 2013 | 55 | |
| 7 | 2016 | 49 | |
| 8 | 2006 | 44 | |
| 9 | 2011 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2013 | 43 | |
| 12 | 2014 | 35 | |
| 13 | 2018 | 31 | |
| 14 | 2017 | 31 | |
| 15 | 2015 | 29 | |
| 16 | 2005 | 28 | |
| 17 | 2022 | 26 | |
| 18 | 2020 | 22 | |
| 19 | 2015 | 21 | |
| 20 | 2021 | 20 |
About Yi Zhao
Yi Zhao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Control and Systems Engineering, Molecular Biology and Computational Theory and Mathematics, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (76 papers), Nonlinear Dynamics and Pattern Formation (68 papers), stochastic dynamics and bifurcation (38 papers), Distributed Control Multi-Agent Systems (20 papers), Chaos control and synchronization (9 papers), Gene Regulatory Network Analysis (9 papers), Advanced Memory and Neural Computing (7 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Statistical and Nonlinear Physics (568 citations), Control and Systems Engineering (237 citations), Computational Theory and Mathematics (103 citations) and Numerical Analysis (25 citations). Yi Zhao has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jianwen Feng, Jingyi Wang, Chen Xu, Bin Pang, Kaibo Shi, Xiaofeng Wu, Kok Lay Teo, Changzhi Wu, Ze Tang and Michael Z. Q. Chen. Their work appears in journals such as Neurocomputing, Nonlinear Dynamics, Physica A Statistical Mechanics and its Applications, IEEE Access and IET Control Theory and 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.