Bin Deng

1.1k total citations
60 papers, 940 citations indexed

About

Bin Deng is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Bin Deng has authored 60 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 39 papers in Statistical and Nonlinear Physics and 20 papers in Computer Networks and Communications. Recurrent topics in Bin Deng's work include Neural dynamics and brain function (43 papers), stochastic dynamics and bifurcation (37 papers) and Neuroscience and Neural Engineering (19 papers). Bin Deng is often cited by papers focused on Neural dynamics and brain function (43 papers), stochastic dynamics and bifurcation (37 papers) and Neuroscience and Neural Engineering (19 papers). Bin Deng collaborates with scholars based in China, Hong Kong and United States. Bin Deng's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Bin Deng

59 papers receiving 878 citations

Peers

Bin Deng
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 641
  • Cognitive Neuroscience 530
  • Computer Networks and Communications 375
  • Cellular and Molecular Neuroscience 203
  • Electrical and Electronic Engineering 158
Replace Xiaoli Yang with:
Xiaoli Yang China
Wuyin Jin China
Enno de Lange Germany
Christian W. Eurich Germany
Zhigang Zhu China
Dong Yu China
Hiroyuki Torikai Japan
Manuel Delgado‐Restituto Spain
S. Binczak France
Alicia d’Anjou Spain
Xiaoli Yang China View profile →
Citations per field, relative to Bin Deng
Bin Deng · 1×
Citations per year, relative to Bin Deng
Bin Deng · 1×

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-authorship network of co-authors of Bin Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Deng. A scholar is included among the top collaborators of Bin Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Deng. Bin Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 24
4 5
5 10
6 25
7 34
8 25
9 8
10 5
11 37
12 36
13 30
14 1
15 6
16 4
17
Effects of high-frequency stimulation transmission of neural code in feedforward network
1
18 24
19 110
20 39

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026