Jinde Cao

99.5k citations
2.2k papers · 80.7k indexed · 27 hit papers · h-index 131

Impact in

Papers in

Jinde Cao

2.1k papers receiving 79.2k citations

Hit Papers

LightingNet: An Integrated Learning Method for Low-Light Image Enhancement 2023 · 108 citations
1082005202620122019200400600

Peers

Jinde Cao
Comparison fields: 5 of 188
  • Computer Networks and Communications 60.7k
  • Statistical and Nonlinear Physics 28.3k
  • Control and Systems Engineering 20.0k
  • Modeling and Simulation 3.7k
  • Artificial Intelligence 17.9k
Replace Guanrong Chen with:
Guanrong Chen Hong Kong
Tingwen Huang China
Ju H. Park South Korea
Zidong Wang China
Peng Shi China
Brian D. O. Anderson Australia
James Lam Hong Kong
Jun Wang China
Richard M. Murray United States
Frank L. Lewis United States
Jinde Cao relative to Guanrong Chen Hong Kong Guanrong Chen's profile →
Citations per field
00.5×1.5×1.8×
Guanrong Chen · 1×
Citations per year

Countries citing papers authored by Jinde Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jinde Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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3 20257
4 20248
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13 20236
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17 202310
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19 20239
20 20232

About Jinde Cao

Jinde Cao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Modeling and Simulation, Control and Systems Engineering and Artificial Intelligence, having authored 2.2k papers that have together received 80.7k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (1.3k papers), Nonlinear Dynamics and Pattern Formation (486 papers), stochastic dynamics and bifurcation (465 papers), Distributed Control Multi-Agent Systems (422 papers), Neural Networks and Applications (395 papers), Advanced Memory and Neural Computing (291 papers), Stability and Control of Uncertain Systems (250 papers) and Chaos control and synchronization (166 papers). The work is most often cited by research in Computer Networks and Communications (60.7k citations), Statistical and Nonlinear Physics (28.3k citations), Control and Systems Engineering (20.0k citations), Modeling and Simulation (3.7k citations) and Artificial Intelligence (17.9k citations). Jinde Cao has collaborated with scholars based in China, South Korea and Saudi Arabia. Frequent co-authors include Jianquan Lu, Wenwu Yu, Daniel W. C. Ho, Xinsong Yang, Ju H. Park, Quanxin Zhu, Xiaodi Li, Jinling Liang, R. Rakkiyappan and Qiang Song. Their work appears in journals such as Neurocomputing, Neural Networks, Journal of the Franklin Institute, Applied Mathematics and Computation 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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