World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
80
Citations
26203
World Ranking
525
National Ranking
242

Kwang Y. Lee 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 Kwang Y. Lee 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: 636 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Kwang Y. Lee 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 Kwang Y. Lee 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: 80 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Kwang Y. Lee is affiliated with Baylor University in the United States. Their primary field of study is Engineering, with a substantial focus on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Energy Engineering and Power Technology, and Automotive Engineering.

The scientist's research concentrates on various advanced topics including Microgrid Control and Optimization, Advanced Control Systems Optimization, Smart Grid Energy Management, Electric Vehicles and Infrastructure, Integrated Energy Systems Optimization, Frequency Control in Power Systems, and Fault Detection and Control Systems.

Lee has co-authored work frequently with several researchers, with notable collaboration counts including Xiangjie Liu (24 publications), Xiaobing Kong (14 publications), Lele Ma (12 publications), Li Sun (12 publications), and Xiao Wu (11 publications).

Key publication venues where Lee's work appears include IFAC-PapersOnLine with 14 publications, Energies with 12 publications, Energy with 11 publications, Renewable Energy with 10 publications, and SSRN Electronic Journal with 7 publications.

Recent papers authored or co-authored by Lee highlight a range of topics related to energy systems and control strategies:

  • Integration of renewable energy sources and electric vehicles in V2G network with adjustable robust optimization (2020, Renewable Energy)
  • Wind speed forecasting using deep neural network with feature selection (2020, Neurocomputing)
  • The mutual benefits of renewables and carbon capture: Achieved by an artificial intelligent scheduling strategy (2021, Energy Conversion and Management)
  • Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization (2020, Energy)
  • Deep neural network for forecasting of photovoltaic power based on wavelet packet decomposition with similar day analysis (2023, Energy)

Best Publications

  • Diagonal recurrent neural networks for dynamic systems control

    Chao-Chee Ku;K.Y. Lee

  • Modern heuristic optimization techniques :: theory and applications to power systems

    Kwang Y. Lee;Mohamed A. El-Sharkawi

  • Short-term load forecasting using an artificial neural network

    K.Y. Lee;Y.T. Cha;J.H. Park

  • An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems

    Jong-Bae Park;Yun-Won Jeong;Joong-Rin Shin;K.Y. Lee

  • Economic load dispatch for piecewise quadratic cost function using Hopfield neural network

    J.H. Park;Y.S. Kim;I.K. Eom;K.Y. Lee

  • A United Approach to Optimal Real and Reactive Power Dispatch

    K. Y. Lee;Y. M. Park;J. L. Ortiz

  • Adaptive Hopfield neural networks for economic load dispatch

    K.Y. Lee;A. Sode-Yome;June Ho Park

  • An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems

    Young-Jae Jeon;Jae-Chul Kim;Jin-O Kim;Joong-Rin Shin

  • Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming

    K.Y. Lee;F.F. Yang

  • Fuel-cost minimisation for both real-and reactive-power dispatches

    K.Y. Lee;Y.M. Park;J.L. Ortiz

  • Determining PV Penetration for Distribution Systems With Time-Varying Load Models

    Duong Quoc Hung;Nadarajah Mithulananthan;Kwang Y. Lee

  • An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

    K. Nekooei;M. M. Farsangi;H. Nezamabadi-Pour;K. Y. Lee

  • A Comparative Study on Particle Swarm Optimization for Optimal Steady-State Performance of Power Systems

    J.G. Vlachogiannis;K.Y. Lee

  • Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO

    J.G. Vlachogiannis;K.Y. Lee

  • A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems

    Yun-Won Jeong;Jong-Bae Park;Se-Hwan Jang;Kwang Y Lee

  • Choice of FACTS device control inputs for damping interarea oscillations

    M.M. Farsangi;Y.H. Song;K.Y. Lee

  • Boiler-turbine control system design using a genetic algorithm

    R. Dimeo;K.Y. Lee

  • Composite modeling for adaptive short-term load forecasting

    J.H. Park;Y.M. Park;K.Y. Lee

  • Multiobjective control of power plants using particle swarm optimization techniques

    J.S. Heo;K.Y. Lee;R. Garduno-Ramirez

  • Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss

    Duong Quoc Hung;N. Mithulananthan;Kwang Y. Lee

  • Development of a stack simulation model for control study on direct reforming molten carbonate fuel cell power plant

    M.D. Lukas;K.Y. Lee;H. Ghezel-Ayagh

Frequent Co-Authors

Nadarajah Mithulananthan
Nadarajah Mithulananthan University of Queensland
Donghai Li
Donghai Li Tsinghua University
Hossein Nezamabadi-pour
Hossein Nezamabadi-pour Shahid Bahonar University of Kerman
Mohamed A. El-Sharkawi
Mohamed A. El-Sharkawi University of Washington
Yijia Cao
Yijia Cao Hunan University
Meihong Wang
Meihong Wang University of Sheffield
Ramesh C. Bansal
Ramesh C. Bansal University of Sharjah
Asok Ray
Asok Ray Pennsylvania State University
Vijay K. Varadan
Vijay K. Varadan University of Arkansas at Fayetteville
Vasundara V. Varadan
Vasundara V. Varadan University of Arkansas at Fayetteville

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