World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
11273
World Ranking
2641
National Ranking
124

Liuchen Chang 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 Liuchen Chang 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: 404 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Liuchen Chang 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 Liuchen Chang 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Liuchen Chang is affiliated with the University of New Brunswick in Canada. Their research primarily lies within the field of Engineering, with a particular focus on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Energy Engineering and Power Technology, and Renewable Energy, Sustainability and the Environment.

The scientist's work spans several topics, notably Microgrid Control and Optimization, Multilevel Inverters and Converters, Advanced DC-DC Converters, Smart Grid Energy Management, High-Voltage Power Transmission Systems, Islanding Detection in Power Systems, and Power Systems and Renewable Energy.

Recent published papers include:

  • Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends (2021), IEEE Open Journal of Power Electronics
  • Review of Grid-forming Inverters in Support of Power System Operation (2022), Chinese Journal of Electrical Engineering
  • Robust Hierarchical Control Mechanism for Aggregated Thermostatically Controlled Loads (2020), IEEE Transactions on Smart Grid
  • Single-phase grid-connected PV system with golden section search-based MPPT algorithm (2021), Chinese Journal of Electrical Engineering
  • Planning Smart Grid Functions in Residential Loads Using a Virtual Equivalent Battery Storage Unit (2021), IEEE Transactions on Industry Applications

Frequent co-authors of Liuchen Chang include Bo Cao, Meiqin Mao, Georges Zissis, Frede Blaabjerg, and Xing Zhang, reflecting collaborative research efforts across multiple projects.

Liuchen Chang's research has been published repeatedly in important venues such as the IEEE Power Electronics Magazine, IEEE Transactions on Sustainable Energy, IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Power Electronics, and IEEE Journal of Photovoltaics.

The scientist has been recognized by The Canadian Academy of Engineering.

Best Publications

  • Topologies of single-phase inverters for small distributed power generators: an overview

    Yaosuo Xue;Liuchen Chang;Sren Baekhj Kjaer;J. Bordonau

  • An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems

    Quincy Wang;Liuchen Chang

  • Development of a novel wind turbine simulator for wind energy conversion systems using an inverter-controlled induction motor

    H.M. Kojabadi;Liuchen Chang;T. Boutot

  • An Advanced SVPWM-Based Predictive Current Controller for Three-Phase Inverters in Distributed Generation Systems

    Qingrong Zeng;Liuchen Chang

  • Generalized Structure for a Single Phase Switched-Capacitor Multilevel Inverter Using a New Multiple DC Link Producer With Reduced Number of Switches

    Reza Barzegarkhoo;Hossein Madadi Kojabadi;Elyas Zamiry;Naser Vosoughi

  • A novel DSP-based current-controlled PWM strategy for single phase grid connected inverters

    Hossein Madadi Kojabadi;Bin Yu;Idris A. Gadoura;Liuchen Chang

  • Hybrid PWM Strategy of SVPWM and VSVPWM for NPC Three-Level Voltage-Source Inverter

    Wei-dong Jiang;Shao-wu Du;Liu-chen Chang;Yi Zhang

  • Multiagent-Based Hybrid Energy Management System for Microgrids

    Meiqin Mao;Peng Jin;Nikos D. Hatziargyriou;Liuchen Chang

  • Optimal sizing of standalone hybrid wind/PV power systems using genetic algorithms

    Daming Xu;Longyun Kang;Liuchen Chang;Binggang Cao

  • A Generalized Technique of Modeling, Analysis, and Control of a Matrix Converter Using SVD

    H Hojabri;H Mokhtari;Liuchen Chang

  • Recent developments in islanding detection for distributed power generation

    Jun Yin;Liuchen Chang;C. Diduch

  • Review of Grid-forming Inverters in Support of Power System Operation

    Unknown

  • Comparison of AC drives for electric vehicles-a report on experts' opinion survey

    L. Chang

  • A novel domestic electric water heater model for a multi-objective demand side management program

    Liam Paull;Howard Li;Liuchen Chang

  • Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends

    Shuang Xu;Yaosuo Xue;Liuchen Chang

  • A novel demand side management program using water heaters and particle swarm optimization

    Arnaldo Sepulveda;Liam Paull;Walid G. Morsi;Howard Li

  • Modeling, analysis, and design of a frequency-droop-based virtual synchronous generator for microgrid applications

    Yan Du;J. M. Guerrero;Liuchen Chang;Jianhui Su

  • A MRAS-based adaptive pseudoreduced-order flux observer for sensorless induction motor drives

    H.M. Kojabadi;Liuchen Chang;R. Doraiswami

  • Stand-alone wind turbine system, apparatus, and method suitable for operating the same

    Liuchen Chang

  • A new strategy for predicting short-term wind speed using soft computing models

    Ashraf U. Haque;Paras Mandal;Mary E. Kaye;Julian Meng

  • An improved FE inductance calculation for electrical machines

    Liuchen Chang

Frequent Co-Authors

Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
Yaosuo Xue
Yaosuo Xue Oak Ridge National Laboratory
Walid G. Morsi
Walid G. Morsi University of Ontario Institute of Technology
Paras Mandal
Paras Mandal The University of Texas at El Paso
Bala Venkatesh
Bala Venkatesh Toronto Metropolitan University
Xing Zhang
Xing Zhang Hefei University of Technology
Mohamed E. El-Hawary
Mohamed E. El-Hawary Dalhousie University
Md. Rabiul Islam
Md. Rabiul Islam University of Wollongong
Eftichios Koutroulis
Eftichios Koutroulis Technical University of Crete
Brian Johnson
Brian Johnson University of Washington

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