Yang Cao
Impact in
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- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
Papers in
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- Neural Networks Stability and Synchronization 29
- Distributed Control Multi-Agent Systems 12
- Nonlinear Dynamics and Pattern Formation 11
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- Neural Networks and Applications 9
- Speech Recognition and Synthesis 7
- Co-authors
- R. Samidurai (7 shared papers)R. Sriraman (6 shared papers)Michael Z. Q. Chen (2 shared papers)A. Chandrasekar (3 shared papers)Liangyin Zhang (1 shared paper)Chanying Li (1 shared paper)T. Radhika (2 shared papers)R. Rakkiyappan (2 shared papers)
In The Last Decade
Yang Cao
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 740
- Statistical and Nonlinear Physics 275
- Control and Systems Engineering 375
- Artificial Intelligence 332
- Computer Vision and Pattern Recognition 166
Countries citing papers authored by Yang Cao
This map shows the geographic impact of Yang Cao'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 Yang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cao more than expected).
Fields of papers citing papers by Yang Cao
This network shows the impact of papers produced by Yang Cao. 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 Yang Cao. The network helps show where Yang Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Cao, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2018 | 96 | |
| 3 | 2023 | 79 | |
| 4 | 2017 | 65 | |
| 5 | 2017 | 58 | |
| 6 | 2022 | 56 | |
| 7 | 2018 | 52 | |
| 8 | 2019 | 52 | |
| 9 | 2009 | 42 | |
| 10 | 2019 | 40 | |
| 11 | 2024 | 36 | |
| 12 | 2007 | 36 | |
| 13 | 2008 | 31 | |
| 14 | 2021 | 31 | |
| 15 | 2018 | 29 | |
| 16 | 2021 | 29 | |
| 17 | 2014 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2021 | 25 |
About Yang Cao
Yang Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics and Signal Processing, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (29 papers), Distributed Control Multi-Agent Systems (12 papers), Stability and Control of Uncertain Systems (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Neural Networks and Applications (9 papers), Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (7 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Computer Networks and Communications (740 citations), Statistical and Nonlinear Physics (275 citations), Control and Systems Engineering (375 citations), Artificial Intelligence (332 citations) and Computer Vision and Pattern Recognition (166 citations). Yang Cao has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include R. Samidurai, R. Sriraman, Michael Z. Q. Chen, A. Chandrasekar, Liangyin Zhang, Chanying Li, T. Radhika, R. Rakkiyappan, V. Vijayakumar and R. Manivannan. Their work appears in journals such as Mathematics and Computers in Simulation, Journal of Artificial Intelligence and Soft Computing Research, Neural Processing Letters, Knowledge-Based Systems and Mathematical Methods in the Applied Sciences.
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.