Bei Chen
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 19
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- stochastic dynamics and bifurcation 17
- Chaos control and synchronization 2
- Co-authors
- Quan Xu (20 shared papers)Han Bao (13 shared papers)Huagan Wu (11 shared papers)Ning Wang (5 shared papers)Mo Chen (8 shared papers)Bocheng Bao (7 shared papers)Tong Liu (1 shared paper)Ze Li (1 shared paper)
In The Last Decade
Bei Chen
33 papers receiving 820 citations
Bei Chen's Hit Papers
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 525
- Cognitive Neuroscience 314
- Computer Networks and Communications 243
- Electrical and Electronic Engineering 447
- Artificial Intelligence 137
Countries citing papers authored by Bei Chen
This map shows the geographic impact of Bei Chen'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 Bei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Chen more than expected).
Fields of papers citing papers by Bei Chen
This network shows the impact of papers produced by Bei Chen. 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 Bei Chen. The network helps show where Bei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Chen, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction Hit paper breakdown → | 2022 | 127 |
| 2 | 2022 | 123 | |
| 3 | 2023 | 78 | |
| 4 | 2023 | 72 | |
| 5 | 2023 | 48 | |
| 6 | 2024 | 44 | |
| 7 | 2024 | 39 | |
| 8 | 2018 | 29 | |
| 9 | 2022 | 28 | |
| 10 | 2010 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 20 | |
| 13 | 2024 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2025 | 12 | |
| 19 | 2014 | 12 | |
| 20 | 2023 | 11 |
About Bei Chen
Bei Chen is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications and Artificial Intelligence, having authored 34 papers that have together received 827 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), stochastic dynamics and bifurcation (17 papers), Neural dynamics and brain function (14 papers), Neural Networks Stability and Synchronization (8 papers), Neural Networks and Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (525 citations), Cognitive Neuroscience (314 citations), Computer Networks and Communications (243 citations), Electrical and Electronic Engineering (447 citations) and Artificial Intelligence (137 citations). Bei Chen has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Quan Xu, Han Bao, Huagan Wu, Ning Wang, Mo Chen, Bocheng Bao, Tong Liu, Ze Li, Ze Li and Ze Li. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, The European Physical Journal Special Topics, Organic Electronics and Journal of Forecasting.
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.