Mo Chen

11.6k citations
325 papers · 9.4k indexed · 5 hit papers · h-index 52
Topics
stochastic dynamics and bifurcation (113 papers)Advanced Memory and Neural Computing (91 papers)Neural dynamics and brain function (82 papers)

In The Last Decade

Mo Chen

305 papers receiving 9.1k citations

Hit Papers

Hidden extreme multistability in memristive hyperchaotic ...201520262018202220162017201520202021100200300

Peers

Mo Chen
Comparison fields: 5 of 147
  • Statistical and Nonlinear Physics 6.4k
  • Electrical and Electronic Engineering 4.4k
  • Computer Networks and Communications 3.7k
  • Cognitive Neuroscience 2.5k
  • Artificial Intelligence 1.2k
Replace Н. В. Кузнецов with:
Н. В. Кузнецов Russia
Michael Peter Kennedy Ireland
K. Pyragas Lithuania
P. Woafo Cameroon
Robin J. Evans Australia
Zhen Wang China
Martin Casdagli United States
José M. Amigó Spain
Dirk Roose Belgium
Irwin W. Sandberg United States
Mo Chen relative to Н. В. Кузнецов Russia Н. В. Кузнецов's profile →
Citations per field
00.5×8.3×
Н. В. Кузнецов · 1×
Citations per year

Countries citing papers authored by Mo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Chen. A scholar is included among the top collaborators of Mo Chen 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 Mo Chen. Mo Chen 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
#WorkIndexed citations
1 37
2 4
3 4
4 12
5 6
6 31
7 13
8 3
9 25
10 3
11 41
12 24
13 60
14 20
15 5
16 31
17 9
18 13
19 27
20 11

About Mo Chen

Mo Chen is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 325 papers that have together received 9.4k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (113 papers), Advanced Memory and Neural Computing (91 papers) and Neural dynamics and brain function (82 papers). The work is most often cited by research in Statistical and Nonlinear Physics (6.4k citations), Computer Networks and Communications (3.7k citations) and Cognitive Neuroscience (2.5k citations). Mo Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bocheng Bao, Han Bao, Quan Xu, Huagan Wu, Ning Wang, Houzhen Li, Zhongyun Hua, Jiang Wang, Lei Zhu and Yajuan Yu. Their work appears in journals such as Nature Communications, Nano Letters and PLoS ONE.

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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