World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
7974
World Ranking
3256
National Ranking
96

Chul-Hwan Kim publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chul-Hwan Kim sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 377 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Chul-Hwan Kim D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chul-Hwan Kim sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 47 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Chul-Hwan Kim is affiliated with Sungkyunkwan University in South Korea and has a research focus primarily within the field of engineering. Their work centers on electrical and electronic engineering, control and systems engineering, automotive engineering, industrial and manufacturing engineering, and energy engineering and power technology.

Their recent research output includes publications spanning topics related to power systems, microgrid control, and smart grid technologies. Notable papers include:

  • Voltage Profile Enhancement and Loss Minimization Using Optimal Placement and Sizing of Distributed Generation in Reconfigured Network, 2021, Machines
  • Optimal Smart Inverter Control for PV and BESS to Improve PV Hosting Capacity of Distribution Networks Using Slime Mould Algorithm, 2021, IEEE Access
  • A Comprehensive Review of Intelligent Islanding Schemes and Feature Selection Techniques for Distributed Generation System, 2021, IEEE Access
  • Robust Centralized Control for DC Islanded Microgrid Considering Communication Network Delay, 2020, IEEE Access
  • Convolutional Neural Network-Based Intelligent Protection Strategy for Microgrids, 2020, IET Generation Transmission & Distribution

Frequent co-authors of their research include Jin-Sol Song, Jisoo Kim, Arif Mehdi, Gwang-Su Shin, and Arif Hussain. These collaborations indicate a networked approach to research in power systems and related fields.

The scientist has contributed multiple papers to several publication venues, notably:

  • The Transactions of The Korean Institute of Electrical Engineers
  • Energies
  • IEEE Access
  • Electric Power Systems Research
  • International Journal of Electrical Power & Energy Systems

Thematically, the main topics explored in their work include:

  • Power Systems Fault Detection
  • Microgrid Control and Optimization
  • Islanding Detection in Power Systems
  • HVDC Systems and Fault Protection
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Power Systems and Renewable Energy

Best Publications

  • Application of neural network to 24-hour-ahead generating power forecasting for PV system

    A. Yona;T. Senjyu;A.Y. Saber;T. Funabashi

  • A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System

    M Datta;T Senjyu;A Yona;T Funabashi

  • Wavelet transforms in power systems. I. General introduction to the wavelet transforms

    Chul Hwan Kim;Raj Aggarwal

  • Wavelet transforms in power systems Part 2 Examples of application to actual power system transients

    Chul Hwan Kim;R. Aggarwal

  • A hybrid smart AC/DC power system

    Kyohei Kurohane;Tomonobu Senjyu;Akie Uehara;Atsushi Yona

  • A Coordinated Control Method for Leveling PV Output Power Fluctuations of PV–Diesel Hybrid Systems Connected to Isolated Power Utility

    M. Datta;T. Senjyu;A. Yona;T. Funabashi

  • Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction

    A. Yona;T. Senjyu;T. Funabashi;Chul-Hwan Kim

  • An Alternative Approach to Adaptive Single-Pole Auto Reclosing in High-Voltage Transmission Systems Based on Variable Dead Time Control

    Sang-Pil Ahn;Chul-Hwan Kim;R.K. Aggarwal;A.T. Johns

  • Coordinated Control Algorithm for Distributed Battery Energy Storage Systems for Mitigating Voltage and Frequency Deviations

    Soon-Jeong Lee;Jun-Hyeok Kim;Chul-Hwan Kim;Seul-Ki Kim

  • Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

    Min-Sung Kim;Raza Haider;Gyu-Jung Cho;Chul-Hwan Kim

  • Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries

    Khawaja Khalid Mehmood;Saad Ullah Khan;Soon-Jeong Lee;Zunaib Maqsood Haider

  • Discussion of "A novel fault detection technique of high impedance arcing faults in transmission lines using the wavelet transform"

    Chul-Hwan Kim;Hyun Kim;Young-Hun Ko;Sung-Hyun Byun

  • Decentralised control of voltage in distribution systems by distributed generators

    K. Tanaka;M. Oshiro;S. Toma;A. Yona

  • Application of Neural Network to One-Day-Ahead 24 hours Generating Power Forecasting for Photovoltaic System

    A. Yona;T. Senjyu;A.Y. Saber;T. Funabashi

  • A real-time optimal coordination scheme for the voltage regulation of a distribution network including an OLTC, capacitor banks, and multiple distributed energy resources

    Khawaja Khalid Mehmood;Saad Ullah Khan;Soon-Jeong Lee;Zunaib Maqsood Haider

  • Optimal Voltage Control Using Inverters Interfaced With PV Systems Considering Forecast Error in a Distribution System

    Zakaria Ziadi;Masato Oshiro;Tomonobu Senjyu;Atsushi Yona

  • Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

    K. Tanaka;K. Uchida;K. Ogimi;T. Goya

  • Educational use of EMTP MODELS for the study of a distance relaying algorithm for protecting transmission lines

    Chul-Hwan Kim;Myung-Hee Lee;R.K. Aggarwal;A.T. Johns

  • Optimal voltage control in distribution systems using PV generators

    Masato Oshiro;Kenichi Tanaka;Tomonobu Senjyu;Shohei Toma

  • Application of Neural Network to 24-hours-Ahead Generating Power Forecasting for PV System

    Atsushi Yona;Tomonobu Senjyu;Toshihisa Funabshi;Hideomi Sekine

  • Voltage Profile Enhancement and Loss Minimization Using Optimal Placement and Sizing of Distributed Generation in Reconfigured Network

    Waseem Haider;S Jarjees Ul Hassan;Arif Mehdi;Arif Hussain

Frequent Co-Authors

Tomonobu Senjyu
Tomonobu Senjyu University of the Ryukyus
Atsushi Yona
Atsushi Yona University of the Ryukyus
Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Raj Aggarwal
Raj Aggarwal University of Bath
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Joon Koo Han
Joon Koo Han Seoul National University Hospital
Kang Choon Lee
Kang Choon Lee Sungkyunkwan University
Paras Mandal
Paras Mandal The University of Texas at El Paso
Teymoor Ghanbari
Teymoor Ghanbari Shiraz University
Vladimir Terzija
Vladimir Terzija Newcastle University

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