Bin Deng

4.9k citations
213 papers · 3.8k · h-index 32

Impact in

Papers in

Bin Deng

199 papers receiving 3.7k citations

Peers

Bin Deng
Comparison fields: 5 of 143
  • Cognitive Neuroscience 1.9k
  • Statistical and Nonlinear Physics 833
  • Cellular and Molecular Neuroscience 747
  • Computer Networks and Communications 625
  • Artificial Intelligence 677
Replace Xile Wei with:
Xile Wei China
Haitao Yu China
Ralph G. Andrzejak Spain
Dezhong Yao China
Luca Faes Italy
Zhe Chen United States
H.J. Chizeck United States
Anastasios Bezerianos Greece
Peng Xu China
Javier Escudero United Kingdom
Bin Deng relative to Xile Wei China Xile Wei's profile →
Citations per field
00.5×1.5×1.8×
Xile Wei · 1×
Citations per year

Countries citing papers authored by Bin Deng

Since Specialization
Citations

This map shows the geographic impact of Bin Deng'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 Bin Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Deng more than expected).

Fields of papers citing papers by Bin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Deng. 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 Bin Deng. The network helps show where Bin Deng may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin Deng, 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 Bin Deng Line = papers co-authored together Bin Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019242
2 2014149
3 2021147
4 2018135
5 2021134
6 2018129
7 2021119
8 2021113
9 2018105
10 200469
11 201468
12 202262
13 201654
14 201153
15 201653
16 201553
17 201151
18 201151
19 200450
20 202046

About Bin Deng

Bin Deng is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 213 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (132 papers), stochastic dynamics and bifurcation (58 papers), Neuroscience and Neural Engineering (57 papers), Advanced Memory and Neural Computing (47 papers), EEG and Brain-Computer Interfaces (38 papers), Nonlinear Dynamics and Pattern Formation (32 papers), Chaos control and synchronization (21 papers) and Functional Brain Connectivity Studies (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Statistical and Nonlinear Physics (833 citations), Cellular and Molecular Neuroscience (747 citations), Computer Networks and Communications (625 citations) and Artificial Intelligence (677 citations). Bin Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiang Wang, Xile Wei, Haitao Yu, Shuangming Yang, Huiyan Li, Chen Liu, Kenneth A. Loparo, Yanqiu Che, Guosheng Yi and Ruofan Wang. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Chaos Solitons & Fractals, Neurocomputing, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Neural Networks and Learning Systems.

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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