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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5145
World Ranking
4971
National Ranking
91

Chang-Ming Liaw 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 Chang-Ming Liaw 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: 172 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Chang-Ming Liaw 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 Chang-Ming Liaw 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Chang-Ming Liaw is affiliated with National Tsing Hua University in Taiwan and specializes in engineering, with a focus on electrical and electronic engineering.

Their research work encompasses several subfields, including:

  • Electrical and Electronic Engineering
  • Automotive Engineering
  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Statistics, Probability and Uncertainty

Liaw's main research topics cover diverse areas related to energy and vehicle technologies, such as:

  • Advanced Battery Technologies Research
  • Multilevel Inverters and Converters
  • Electric Motor Design and Analysis
  • Microgrid Control and Optimization
  • Advanced DC-DC Converters
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure

The scientist's recent publications include the following:

  • Development of an Electric Vehicle Synchronous Reluctance Motor Drive, 2020, IEEE Transactions on Vehicular Technology
  • A Battery/Supercapacitor Hybrid Powered EV SRM Drive and Microgrid Incorporated Operations, 2021, IEEE Transactions on Transportation Electrification
  • Wind Switched-Reluctance Generator Based Microgrid With Integrated Plug-In Energy Support Mechanism, 2020, IEEE Transactions on Power Electronics
  • The Design Aspect of the Bruceton Test for Pyrotechnics Sensitivity Analysis, 2021, Journal of Data Science
  • Development of an Aircraft Electric Power Architecture With Integrated Ground Power Unit, 2022, IEEE Transactions on Aerospace and Electronic Systems

Their frequent coauthors include:

  • Min-Ze Lu
  • Chen-Wei Yang
  • G. Vijay Kumar
  • Pin-Hong Jhou
  • Chang-Lin Chiang

Liaw has frequently published in the following venues:

  • Journal of Energy and Power Technology
  • IEEE Transactions on Aerospace and Electronic Systems
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Transportation Electrification

The research contributions of Chang-Ming Liaw span multiple technical areas centered on sustainable energy systems, electric vehicle motor design, and microgrid technologies, reflecting an interdisciplinary approach within engineering focused on advancing electric transportation and power electronics.

Best Publications

  • An Adaptive Controller for Power System Load-Frequency Control

    Unknown

  • Development of a Compact Switched-Reluctance Motor Drive for EV Propulsion With Voltage-Boosting and PFC Charging Capabilities

    Hung-Chun Chang;Chang-Ming Liaw

  • An Integrated Driving/Charging Switched Reluctance Motor Drive Using Three-Phase Power Module

    Hung-Chun Chang;Chang-Ming Liaw

  • A fuzzy controller improving a linear model following controller for motor drives

    Ying-Shieh Kung;Chang-Ming Liaw

  • On the Design of Power Circuit and Control Scheme for Switched Reluctance Generator

    Yuan-Chih Chang;Chang-Ming Liaw

  • Establishment of a Switched-Reluctance Generator-Based Common DC Microgrid System

    Yuan-Chih Chang;Chang-Ming Liaw

  • An EV SRM Drive Powered by Battery/Supercapacitor With G2V and V2H/V2G Capabilities

    Kai-Wei Hu;Pei-Hsun Yi;Chang-Ming Liaw

  • Adaptive positioning control for a LPMSM drive based on adapted inverse model and robust disturbance observer

    Wei-Te Su;Chang-Ming Liaw

  • Analysis, design, and implementation of a random frequency PWM inverter

    C.M. Liaw;Y.M. Lin;C.H. Wu;K.I. Hwu

  • Comparative study of switching controls in vibration and acoustic noise reductions for switched reluctance motor

    J.Y. Chai;Y.W. Lin;C.M. Liaw

  • On Acoustic-Noise-Reduction Control Using Random Switching Technique for Switch-Mode Rectifiers in PMSM Drive

    Jui-Yuan Chai;Yeh-Hsiang Ho;Yu-Choung Chang;Chang-Ming Liaw

  • An Electric-Vehicle IPMSM Drive With Interleaved Front-End DC/DC Converter

    Yu-Shian Lin;Kai-Wei Hu;Tsu-Hao Yeh;Chang-Ming Liaw

  • Incorporated Operation Control of DC Microgrid and Electric Vehicle

    Kai-Wei Hu;Chang-Ming Liaw

  • Design and implementation of a fuzzy controller for a high performance induction motor drive

    Unknown

  • A robust hysteresis current-controlled PWM inverter for linear PMSM driven magnetic suspended positioning system

    Bor-Jehng Kang;Chang-Ming Liaw

  • Dynamic modeling and controller design of flyback converter

    T.H. Chen;W.L. Lin;C.M. Liaw

  • Adaptive speed control for induction motor drives using neural networks

    Y.S. Kung;C.M. Liaw;M.S. Ouyang

  • Current-mode control for sensorless BDCM drive with intelligent commutation tuning

    Hung-Chi Chen;Chang-Ming Liaw

  • Model reduction by power decomposition and frequency response matching

    M. Ouyang;C. Liaw;C. Pan

  • Design and implementation of a high-performance field-oriented induction motor drive

    Chang-Ming Liaw;Ying-Shieh Kung;Ching-Ming Wu

  • Fuzzy two-degrees-of-freedom speed controller for motor drives

    C.M. Liaw;S.Y. Cheng

  • Development and Operation Control of a Switched-Reluctance Motor Driven Flywheel

    Chi-Yuan Ho;Jung-Chi Wang;Kai-Wei Hu;Chang-Ming Liaw

  • Adaptive speed control for induction motor drives using neural networks

    Y.S. Kung;M. Ouyang;C.M. Liaw

Frequent Co-Authors

Faa-Jeng Lin
Faa-Jeng Lin National Central University
Ching-Tsai Pan
Ching-Tsai Pan National Tsing Hua University

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