Bei Chen

974 citations
34 papers · 777 · 1 hit paper · h-index 14

Impact in

Papers in

Bei Chen

32 papers receiving 768 citations

Bei Chen's Hit Papers

Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction 2022 · 124 citations
1240+1+2Years since publication4080120

Peers

Bei Chen
Comparison fields: 5 of 59
  • Statistical and Nonlinear Physics 506
  • Cognitive Neuroscience 304
  • Computer Networks and Communications 236
  • Electrical and Electronic Engineering 420
  • Artificial Intelligence 131
Replace Zekun Deng with:
Zekun Deng China
Xinlei An China
Wesley Thio United States
Yue Deng China
Ahmet Şamil Demirkol Germany
Lili Zhou China
Yuankun Xue United States
Tianming Liu China
Bei Chen relative to Zekun Deng China Zekun Deng's profile →
Citations per field
00.5×3.5×
Zekun Deng · 1×
Citations per year

Countries citing papers authored by Bei Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bei Chen Line = papers co-authored together Bei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2022124
2 2022115
3 202374
4 202368
5 202343
6 202438
7 202437
8 201829
9 201028
10 202227
11 202222
12 202120
13 202114
14 202413
15 202313
16 202312
17 202312
18 201412
19 202211
20 20239

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 777 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 Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (506 citations), Cognitive Neuroscience (304 citations), Computer Networks and Communications (236 citations), Electrical and Electronic Engineering (420 citations) and Artificial Intelligence (131 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, Ze Li, Tong Liu, Bocheng Bao, Ze Li and Yulia R. Gel. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, The European Physical Journal Special Topics, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Transactions on Industrial Electronics.

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.

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