World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
7633
World Ranking
3421
National Ranking
552

Ka Wing Chan 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 Ka Wing Chan 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: 225 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Ka Wing Chan 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 Ka Wing Chan 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: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Ka Wing Chan is affiliated with Hong Kong Polytechnic University in China and has an extensive research portfolio in the field of engineering, primarily focusing on electrical and electronic engineering. Their research addresses various aspects of smart grid energy management, microgrid control, and power system optimization.

Their work spans multiple subfields, including control and systems engineering, automotive engineering, renewable energy, sustainability, and artificial intelligence. The main topics explored by Ka Wing Chan include:

  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Electric Power System Optimization
  • Integrated Energy Systems Optimization
  • Multilevel Inverters and Converters

Ka Wing Chan has published extensively in well-known venues, demonstrating recurring contributions to journals such as:

  • Applied Energy
  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Industry Applications

Among recent publications, notable papers include:

  • Model predictive control of microgrids - An overview, 2020, Renewable and Sustainable Energy Reviews
  • Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model, 2020, IEEE Transactions on Cybernetics
  • Impact of Inverter-Based Resources on Negative Sequence Quantities-Based Protection Elements, 2020, IEEE Transactions on Power Delivery
  • Adaptive Droop Control Using Adaptive Virtual Impedance for Microgrids With Variable PV Outputs and Load Demands, 2020, IEEE Transactions on Industrial Electronics
  • A Unified Model Predictive Voltage and Current Control for Microgrids With Distributed Fuzzy Cooperative Secondary Control, 2021, IEEE Transactions on Industrial Informatics

Collaboration forms an important aspect of their research output, with frequent coauthors including:

  • Siqi Bu
  • Shiwei Xia
  • Ziqing Zhu
  • Siu Wing Or
  • Bin Zhou

Best Publications

  • Smart home energy management systems: Concept, configurations, and scheduling strategies

    Bin Zhou;Wentao Li;Ka Wing Chan;Yijia Cao

  • Model predictive control of microgrids – An overview

    Jiefeng Hu;Yinghao Shan;Josep M. Guerrero;Adrian Ioinovici

  • Model Predictive Control of Bidirectional DC–DC Converters and AC/DC Interlinking Converters—A New Control Method for PV-Wind-Battery Microgrids

    Yinghao Shan;Jiefeng Hu;Ka Wing Chan;Qing Fu

  • Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model

    Xian Zhang;Ka Wing Chan;Hairong Li;Huaizhi Wang

  • Transient stability constrained optimal power flow using particle swarm optimisation

    N. Mo;Z. Y. Zou;Ka Wing Chan;T. Y.G. Pong

  • Optimal Scheduling of Biogas–Solar–Wind Renewable Portfolio for Multicarrier Energy Supplies

    Bin Zhou;Da Xu;Canbing Li;Chi Yung Chung

  • Quasi-Monte Carlo Based Probabilistic Small Signal Stability Analysis for Power Systems With Plug-In Electric Vehicle and Wind Power Integration

    Huazhang Huang;C. Y. Chung;K. W. Chan;Haoyong Chen

  • Impact of Inverter-Based Resources on Negative Sequence Quantities-Based Protection Elements

    Aboutaleb Haddadi;Mingxuan Zhao;Ilhan Kocar;Ulas Karaagac

  • Probabilistic Transient Stability Constrained Optimal Power Flow for Power Systems With Multiple Correlated Uncertain Wind Generations

    Shiwei Xia;Xiao Luo;Ka Wing Chan;Ming Zhou

  • Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation

    Shiwei Xia;Shiwei Xia;K.W. Chan;Xiao Luo;Xiao Luo;Siqi Bu

  • Distributed Multienergy Coordination of Multimicrogrids With Biogas-Solar-Wind Renewables

    Da Xu;Bin Zhou;Ka Wing Chan;Canbing Li

  • Stochastic Optimal Relaxed Automatic Generation Control in Non-Markov Environment Based on Multi-Step $Q(\lambda)$ Learning

    Tao Yu;Bin Zhou;Ka Wing Chan;Liang Chen

  • Optimal scheduling of virtual power plant with battery degradation cost

    Bin Zhou;Xi Liu;Yijia Cao;Canbing Li

  • Real-time scheduling of electric vehicles charging in low-voltage residential distribution systems to minimise power losses and improve voltage profile

    Xiao Luo;Ka Wing Chan

  • Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

    T. Yu;H. Z. Wang;B. Zhou;K. W. Chan

  • Reconfigurable Intermediate Resonant Circuit Based WPT System With Load-Independent Constant Output Current and Voltage for Charging Battery

    Yong Li;Jiefeng Hu;Ming Liu;Yang Chen

  • Single-Stage Wireless-Power-Transfer Resonant Converter With Boost Bridgeless Power-Factor-Correction Rectifier

    Junwei Liu;Ka Wing Chan;Chi Yung Chung;Nelson Hon Lung Chan

  • Reliability Evaluation of Phasor Measurement Unit Using Monte Carlo Dynamic Fault Tree Method

    Peng Zhang;Ka Wing Chan

  • Model Predictive Direct Speed Control With Torque Oscillation Reduction for PMSM Drives

    Ming Liu;Ka Wing Chan;Jiefeng Hu;Wenzheng Xu

  • Adaptive Droop Control Using Adaptive Virtual Impedance for Microgrids With Variable PV Outputs and Load Demands

    Zilin Li;Ka Wing Chan;Jiefeng Hu;Josep M. Guerrero

  • Direct nonlinear primal–dual interior-point method for transient stability constrained optimal power flow

    Y. Xia;Ka Wing Chan;M. Liu

  • A decentralized charging control strategy for plug-in electric vehicles to mitigate wind farm intermittency and enhance frequency regulation

    Xiao Luo;Shiwei Xia;Ka Wing Chan

  • Adaptive wide-area damping control scheme with stochastic subspace identification and signal time delay compensation

    P. Zhang;D.Y. Yang;K.W. Chan;G.W. Cai

  • Systematic Approach to High-Power and Energy-Efficient Industrial Induction Cooker System: Circuit Design, Control Strategy, and Prototype Evaluation

    Lichan Meng;K. W. E. Cheng;Ka Wing Chan

Frequent Co-Authors

Jiefeng Hu
Jiefeng Hu Federation University Australia
Ka Wai Eric Cheng
Ka Wai Eric Cheng Hong Kong Polytechnic University
Chi Yung Chung
Chi Yung Chung Hong Kong Polytechnic University
Tao Yu
Tao Yu South China University of Technology
Canbing Li
Canbing Li Shanghai Jiao Tong University
Yijia Cao
Yijia Cao Hunan University
Siu Wing Or
Siu Wing Or Hong Kong Polytechnic University
Shengwei Mei
Shengwei Mei Tsinghua University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
S. L. Ho
S. L. Ho Hong Kong Polytechnic University

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Related Online Degrees & Career Pathways

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