Kun‐Long Chen

410 citations
30 papers · 315 · h-index 10

Impact in

Papers in

Kun‐Long Chen

29 papers receiving 312 citations

Peers

Kun‐Long Chen
Comparison fields: 5 of 38
  • Electrical and Electronic Engineering 279
  • Control and Systems Engineering 91
  • Mechanical Engineering 127
  • Computer Networks and Communications 37
  • Energy Engineering and Power Technology 4
Replace Branislav Djokić with:
Branislav Djokić Canada
Petr Toman Czechia
Maricel Adam Romania
Kun-Long Chen Taiwan
Isidor Kerszenbaum United States
K. Kamiyama Japan
Ivan R. S. Casella Brazil
Giovanni Artale Italy
Carlos E. Capovilla Brazil
Kun‐Long Chen relative to Branislav Djokić Canada Branislav Djokić's profile →
Citations per field
00.5×9.7×
Branislav Djokić · 1×
Citations per year

Countries citing papers authored by Kun‐Long Chen

Since Specialization
Citations

This map shows the geographic impact of Kun‐Long 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‐Long 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‐Long Chen more than expected).

Fields of papers citing papers by Kun‐Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Kun‐Long 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‐Long Chen Line = papers co-authored together Kun‐Long Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201341
2 201634
3 201931
4 201730
5 201128
6 201725
7 201424
8 201822
9 202019
10 201110
11 20108
12 20155
13 20184
14 20233
15 20243
16 20213
17 20203
18 20183
19 20243
20 20182

About Kun‐Long Chen

Kun‐Long Chen is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering, Astronomy and Astrophysics and Computer Networks and Communications, having authored 30 papers that have together received 315 indexed citations. Recurring topics across this work include Magnetic Field Sensors Techniques (22 papers), Magneto-Optical Properties and Applications (15 papers), Non-Destructive Testing Techniques (12 papers), Thermal Analysis in Power Transmission (8 papers), Electrical and Bioimpedance Tomography (7 papers), Power Systems Fault Detection (4 papers), Lightning and Electromagnetic Phenomena (3 papers) and Power Transformer Diagnostics and Insulation (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (279 citations), Control and Systems Engineering (91 citations), Mechanical Engineering (127 citations), Computer Networks and Communications (37 citations) and Energy Engineering and Power Technology (4 citations). Kun‐Long Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Nanming Chen, Yanru Chen, Yi Guo, Xiaoyu Ma, Wilsun Xu, Wei‐Jen Lee, Hsueh‐Hsien Chang, Qifeng Xu, Juncheng Wang and Zhijie Jiang. Their work appears in journals such as IET Generation Transmission & Distribution, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Smart Grid and IEEE Transactions on Power Delivery.

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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