Kun Chen

754 citations
44 papers · 551 · h-index 12

Impact in

Papers in

Kun Chen

35 papers receiving 544 citations

Peers

Kun Chen
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 79
  • Management Science and Operations Research 96
  • Safety, Risk, Reliability and Quality 47
  • Polymers and Plastics 66
  • Atomic and Molecular Physics, and Optics 108
Replace Chao Duan with:
Chao Duan China
Qingsong Zhao China
Xue Zhang China
Tong Qian China
Kevin Huang United States
Kun Chen relative to Chao Duan China Chao Duan's profile →
Citations per field
00.5×8.3×
Chao Duan · 1×
Citations per year

Countries citing papers authored by Kun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 201788
3 201162
4 201953
5 201850
6 202129
7 201424
8 202219
9 202313
10 202312
11 201211
12 202211
13 20229
14 20228
15 20236
16 20246
17 20226
18 20236
19 20215
20 20235

About Kun Chen

Kun Chen is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 551 indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (16 papers), Pulsed Power Technology Applications (11 papers), Particle accelerators and beam dynamics (8 papers), Microwave Engineering and Waveguides (5 papers), Autophagy in Disease and Therapy (3 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Electromagnetic Simulation and Numerical Methods (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (79 citations), Management Science and Operations Research (96 citations), Safety, Risk, Reliability and Quality (47 citations), Polymers and Plastics (66 citations) and Atomic and Molecular Physics, and Optics (108 citations). Kun Chen has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Jianmin Gao, Rongxi Wang, Zhen Wang, Zhen Gao, Renzhen Xiao, Zheng Wei, Yanchao Shi, Yilong Cheng, Ji-Rong Wen and Yanfeng Zhang. Their work appears in journals such as IEEE Transactions on Electron Devices, Physics of Plasmas, IEEE Electron Device Letters, Journal of Pharmacy and Pharmacology and Scientific Reports.

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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