Un-Chul Moon

917 citations
36 papers · 737 · h-index 12

Impact in

Papers in

Un-Chul Moon

34 papers receiving 706 citations

Peers

Un-Chul Moon
Comparison fields: 5 of 53
  • Control and Systems Engineering 528
  • Electrical and Electronic Engineering 290
  • Artificial Intelligence 100
  • Energy Engineering and Power Technology 7
  • Mechanical Engineering 52
Replace Yassine Koubaa with:
Yassine Koubaa Tunisia
Lunhaojie Liu China
Saeed Jafarzadeh United States
Lal Bahadur Prasad India
Shi Jing China
Po-Huang Shieh Taiwan
Li-Tao Teng Taiwan
Ryan Shun-Cheung Yeung Hong Kong
Farès Boudjema Algeria
Wenyan Bai China
Un-Chul Moon relative to Yassine Koubaa Tunisia Yassine Koubaa's profile →
Citations per field
00.5×1.5×
Yassine Koubaa · 1×
Citations per year

Countries citing papers authored by Un-Chul Moon

Since Specialization
Citations

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

Fields of papers citing papers by Un-Chul Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014161
2 200988
3 199587
4 200386
5 201148
6 200339
7 199630
8 201726
9 200623
10 200514
11 201112
12 200012
13 202011
14 202011
15 202211
16 201710
17 20148
18 20178
19 20107
20 20077

About Un-Chul Moon

Un-Chul Moon is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics and Aerospace Engineering, having authored 36 papers that have together received 737 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (16 papers), Fault Detection and Control Systems (10 papers), Optimal Power Flow Distribution (6 papers), Power System Optimization and Stability (5 papers), Fuzzy Logic and Control Systems (4 papers), Control Systems and Identification (4 papers), Iterative Learning Control Systems (4 papers) and Advanced Control Systems Design (3 papers). The work is most often cited by research in Control and Systems Engineering (528 citations), Electrical and Electronic Engineering (290 citations), Artificial Intelligence (100 citations), Energy Engineering and Power Technology (7 citations) and Mechanical Engineering (52 citations). Un-Chul Moon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include K.Y. Lee, Kwang Y. Lee, Sangshin Kwak, K.Y. Lee, Kwang Y. Lee, Seung‐Chul Lee, Youngjun Lee, Jae‐Hoon Ji, Jung‐Hyuk Koh and Hyuck‐In Kwon. Their work appears in journals such as IEEE Transactions on Energy Conversion, IEEE Transactions on Control Systems Technology, IEEE Transactions on Magnetics, Energies and IEEE Transactions on Fuzzy 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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