Kai Chen

26k citations
121 papers · 856 · h-index 16

Impact in

Papers in

Kai Chen

108 papers receiving 839 citations

Peers

Kai Chen
Comparison fields: 5 of 81
  • Control and Systems Engineering 211
  • Statistical and Nonlinear Physics 78
  • Ceramics and Composites 30
  • Electrical and Electronic Engineering 223
  • Signal Processing 30
Replace Gangquan Si with:
Gangquan Si China
David Yang Gao United States
Ruonan Liu China
Lei Jin China
Ezzat G. Bakhoum United States
Niklas Wahlström Sweden
Degang Xu China
Chunwen Li China
Qiu Tang China
Kai Chen relative to Gangquan Si China Gangquan Si's profile →
Citations per field
00.5×1.5×2×2.3×
Gangquan Si · 1×
Citations per year

Countries citing papers authored by Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2 202047
3 201243
4 202138
5 202431
6 201330
7 202128
8 202427
9 199625
10 202022
11 202320
12 199518
13 201518
14 202018
15 202217
16 202317
17 199815
18 200515
19 202315
20 201814

About Kai Chen

Kai Chen is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 121 papers that have together received 856 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (17 papers), Fault Detection and Control Systems (8 papers), Multilevel Inverters and Converters (7 papers), Distributed Control Multi-Agent Systems (5 papers), Chaos control and synchronization (5 papers), Advanced Control Systems Design (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Control and Systems Engineering (211 citations), Statistical and Nonlinear Physics (78 citations), Ceramics and Composites (30 citations), Electrical and Electronic Engineering (223 citations) and Signal Processing (30 citations). Kai Chen has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Libing Bai, Yuhua Cheng, Yuhua Cheng, Tsung‐Heng Tsai, Yiming Deng, Yifan Wang, Fan Wu, Xiaoyu Shi, Mietek A. Brdyś and Juntong Huang. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, IEEE Transactions on Circuits and Systems I Regular Papers, Applied Sciences and Review of Scientific Instruments.

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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