Chuan Chen

1.1k citations
29 papers · 917 · 1 hit paper · h-index 14

Impact in

Papers in

Chuan Chen

27 papers receiving 914 citations

Chuan Chen's Hit Papers

A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks 2020 · 209 citations
2090+2+4Years since publication50100150200

Peers

Chuan Chen
Comparison fields: 5 of 46
  • Computer Networks and Communications 766
  • Statistical and Nonlinear Physics 387
  • Control and Systems Engineering 162
  • Electrical and Electronic Engineering 360
  • Artificial Intelligence 187
Replace Xiaofan Li with:
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Chuan Chen relative to Xiaofan Li China Xiaofan Li's profile →
Citations per field
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Xiaofan Li · 1×
Citations per year

Countries citing papers authored by Chuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks
Hit paper breakdown →
2020209
2 2018128
3 201788
4 201972
5 202170
6 201758
7 201755
8 202237
9 201833
10 201928
11 202125
12 201722
13 202115
14 202315
15 201711
16 20229
17 20209
18 20227
19 20246
20 20186

About Chuan Chen

Chuan Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Control and Systems Engineering, having authored 29 papers that have together received 917 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (20 papers), Advanced Memory and Neural Computing (15 papers), Distributed Control Multi-Agent Systems (7 papers), stochastic dynamics and bifurcation (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Neural Networks and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Computer Networks and Communications (766 citations), Statistical and Nonlinear Physics (387 citations), Control and Systems Engineering (162 citations), Electrical and Electronic Engineering (360 citations) and Artificial Intelligence (187 citations). Chuan Chen has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Haipeng Peng, Yixian Yang, Lixiang Li, Ling Mi, Hui Zhao, Lixiang Li, Lijuan Xu, Sijie Niu, Lianhai Wang and Tao Li. Their work appears in journals such as Neural Networks, IEEE Access, Engineering Applications of Artificial Intelligence, Neural Processing Letters and Neurocomputing.

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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