Chae-Joo Moon

480 citations
37 papers · 375 · h-index 9

Impact in

Papers in

Chae-Joo Moon

30 papers receiving 337 citations

Peers

Chae-Joo Moon
Comparison fields: 5 of 42
  • Control and Systems Engineering 241
  • Statistical and Nonlinear Physics 37
  • Energy Engineering and Power Technology 9
  • Computational Theory and Mathematics 48
  • Artificial Intelligence 94
Replace Romeu Reginatto with:
Romeu Reginatto Brazil
E. Swidenbank United Kingdom
Khaled Zehar Algeria
Ahmed M. Atallah Egypt
Joaquim Dias Garcia Brazil
Joseph J. Yamé France
Xian Du China
A. N. JHA India
Usman Aliyu Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Chae-Joo Moon

Since Specialization
Citations

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

Fields of papers citing papers by Chae-Joo Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chae-Joo Moon. 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 Chae-Joo Moon. The network helps show where Chae-Joo Moon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005108
2 200469
3 200550
4 200731
5
Adaptive Fuzzy Controller for the Nonlinear System with Unknown Sign of the Input Gain
200623
6 202215
7 201314
8 20229
9 20249
10 20176
11 20054
12 20124
13 20064
14 20053
15 20063
16 20142
17 20122
18 20212
19
Isolated multi-level inverter using 3-phase transformers
20072
20 20062

About Chae-Joo Moon

Chae-Joo Moon is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Environmental Engineering, having authored 37 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (10 papers), Multilevel Inverters and Converters (8 papers), Wind Energy Research and Development (8 papers), Wind and Air Flow Studies (5 papers), Adaptive Control of Nonlinear Systems (5 papers), Advanced Battery Technologies Research (4 papers), Fuzzy Logic and Control Systems (4 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Control and Systems Engineering (241 citations), Statistical and Nonlinear Physics (37 citations), Energy Engineering and Power Technology (9 citations), Computational Theory and Mathematics (48 citations) and Artificial Intelligence (94 citations). Chae-Joo Moon has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Jang‐Hyun Park, Seong-Hwan Kim, Gwi-Tae Park, Sung‐Jun Park, Feel‐soon Kang, Sanghun Lee, Man‐Hyung Lee, Young-Gon Kim, Minh‐Khai Nguyen and Young‐Cheol Lim. Their work appears in journals such as Fuzzy Sets and Systems, Solar Energy, Journal of Coastal Research, Scientific Reports and Energies.

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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