Bin Deng

60 papers receiving 910 citations

Peers

Bin Deng
Comparison fields: 5 of 70
  • Statistical and Nonlinear Physics 646
  • Cognitive Neuroscience 531
  • Computer Networks and Communications 376
  • Cellular and Molecular Neuroscience 200
  • Modeling and Simulation 26
Replace Wuyin Jin with:
Wuyin Jin China
Xiaoli Yang China
Enno de Lange Germany
S. Binczak France
Zhigang Zhu China
Juan Luis Cabrera Venezuela
Alicia d’Anjou Spain
Thomas T. Imhoff United States
Wondimu Teka United States
Bin Deng relative to Wuyin Jin China Wuyin Jin's profile →
Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010112
2 200983
3 201143
4 200540
5 201338
6 201337
7 201535
8 201331
9 201330
10 201625
11 201125
12 201425
13 201124
14 202024
15 201522
16 201422
17 201121
18 201321
19 201318
20 202017

About Bin Deng

Bin Deng is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 61 papers that have together received 955 indexed citations. Recurring topics across this work include Neural dynamics and brain function (43 papers), stochastic dynamics and bifurcation (37 papers), Neuroscience and Neural Engineering (20 papers), Nonlinear Dynamics and Pattern Formation (19 papers), Advanced Memory and Neural Computing (9 papers), Vehicle Dynamics and Control Systems (3 papers), Advanced Battery Technologies Research (2 papers) and Wireless Power Transfer Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (646 citations), Cognitive Neuroscience (531 citations), Computer Networks and Communications (376 citations), Cellular and Molecular Neuroscience (200 citations) and Modeling and Simulation (26 citations). Bin Deng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiang Wang, Xile Wei, K.M. Tsang, W.L. Chan, Haitao Yu, Chen Liu, Guosheng Yi, Chunxiao Han, Han Zhao and Yingmei Qin. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Communications in Nonlinear Science and Numerical Simulation, Chaos Solitons & Fractals, Physica A Statistical Mechanics and its Applications and Journal of Computational Neuroscience.

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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