Xiaoli Yang
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- stochastic dynamics and bifurcation 26
- Chaos control and synchronization 20
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- Neural dynamics and brain function 26
- EEG and Brain-Computer Interfaces 7
- Co-authors
- Zhongkui Sun (45 shared papers)Wei Xu (15 shared papers)Wei Xu (11 shared papers)Fang Tong (3 shared papers)Nannan Zhao (3 shared papers)Wei Xu (2 shared papers)Rui Xiao (3 shared papers)Yuanyuan Liu (2 shared papers)
In The Last Decade
Xiaoli Yang
71 papers receiving 903 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 530
- Computer Networks and Communications 381
- Cognitive Neuroscience 286
- Modeling and Simulation 58
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by Xiaoli Yang
This map shows the geographic impact of Xiaoli Yang'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 Xiaoli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Yang more than expected).
Fields of papers citing papers by Xiaoli Yang
This network shows the impact of papers produced by Xiaoli Yang. 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 Xiaoli Yang. The network helps show where Xiaoli Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Yang, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2005 | 51 | |
| 3 | 2017 | 45 | |
| 4 | 2018 | 38 | |
| 5 | 2011 | 35 | |
| 6 | 2022 | 33 | |
| 7 | 2005 | 32 | |
| 8 | 2012 | 25 | |
| 9 | 2021 | 25 | |
| 10 | 2005 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2007 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2018 | 15 |
About Xiaoli Yang
Xiaoli Yang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Cellular and Molecular Neuroscience and Physiology, having authored 77 papers that have together received 937 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (28 papers), Neural dynamics and brain function (26 papers), stochastic dynamics and bifurcation (26 papers), Chaos control and synchronization (20 papers), Neuroscience and Neuropharmacology Research (8 papers), Neural Networks Stability and Synchronization (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (530 citations), Computer Networks and Communications (381 citations), Cognitive Neuroscience (286 citations), Modeling and Simulation (58 citations) and Statistics, Probability and Uncertainty (38 citations). Xiaoli Yang has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Zhongkui Sun, Wei Xu, Wei Xu, Fang Tong, Nannan Zhao, Wei Xu, Rui Xiao, Yuanyuan Liu, Guoen Cai and Guofa Cai. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Nonlinear Dynamics, Chaos Solitons & Fractals, Physics Letters A and International Journal of Bifurcation and Chaos.
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.