Dae-Kyong Kim

658 citations
52 papers · 526 indexed · h-index 10

Dae-Kyong Kim

42 papers receiving 470 citations

Peers

Dae-Kyong Kim
Comparison fields: 5 of 40
  • Control and Systems Engineering 245
  • Electrical and Electronic Engineering 472
  • Electronic, Optical and Magnetic Materials 110
  • Mechanical Engineering 92
  • Automotive Engineering 23
Replace Gaizka Ugalde with:
Gaizka Ugalde Spain
Ki‐Doek Lee South Korea
Mauro Di Nardo United Kingdom
Dong-Woo Kang South Korea
Mario Vražić Croatia
Haruo Naitoh Japan
Mohammad Farshadnia Australia
Yusuf Yaşa Türkiye
A. Ferrah United Kingdom
Tevhid Atalik Türkiye
Dae-Kyong Kim relative to Gaizka Ugalde Spain Gaizka Ugalde's profile →
Citations per field
00.5×2.6×
Gaizka Ugalde · 1×
Citations per year

Countries citing papers authored by Dae-Kyong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Kyong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Kyong Kim. 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 Dae-Kyong Kim. The network helps show where Dae-Kyong Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20221
4 20211
5 20201
6 20182
7 20141
8 20131
9 20133
10 20133
11 20130
12 20124
13 201154
14
Analysis and efficiency optimization of a single-phase BLDC motor using magnetic equivalent circuit and response surface methodology
20101
15 20091
16 200829
17 20089
18 20067
19
Torque Ripple Reduction Method in a Sensorless Drive for the BLDC Motor
20047
20
Enhancement of a Liver Form of Cytosolic Phospholipase $A_2$ Activity by Methylmercury
19981

About Dae-Kyong Kim

Dae-Kyong Kim is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 52 papers that have together received 526 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (32 papers), Magnetic Bearings and Levitation Dynamics (16 papers), Sensorless Control of Electric Motors (15 papers), Magnetic Properties and Applications (13 papers), Induction Heating and Inverter Technology (9 papers), Advanced DC-DC Converters (6 papers), Multilevel Inverters and Converters (5 papers) and Photovoltaic System Optimization Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (245 citations), Electrical and Electronic Engineering (472 citations) and Electronic, Optical and Magnetic Materials (110 citations). Dae-Kyong Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Byung‐il Kwon, Kwangwoon Lee, Byung‐Taek Kim, Juhee Cho, Young‐Un Park, Se-Hyun Rhyu, Dong‐Seong Kim, Hee‐Jun Kim, Dong‐Hwa Chung and Jae-Sub Ko. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Access and IEEE Transactions on Industry Applications.

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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