World's Best Scientists 2026 revealed!
Liuping Wang

Liuping Wang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
8739
World Ranking
4417
National Ranking
138

Liuping Wang 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 Liuping Wang 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: 272 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Liuping Wang 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 Liuping Wang 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Liuping Wang is affiliated with RMIT University in Australia and has a substantial research output primarily in the field of engineering. Their work covers several specialized subfields, including control and systems engineering, electrical and electronic engineering, automotive engineering, materials chemistry, and organic chemistry.

Their research extends over a variety of main topics, such as:

  • Adaptive Control of Nonlinear Systems
  • CO2 Reduction Techniques and Catalysts
  • Aerospace and Aviation Technology
  • Microgrid Control and Optimization
  • Iterative Learning Control Systems
  • Multilevel Inverters and Converters
  • Advanced Battery Technologies Research

Among the recent papers authored by Liuping Wang are:

  • Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review (2023) published in Frontiers in Computer Science
  • CASS (2021) published in Proceedings of the ACM on Human-Computer Interaction

Liuping Wang has collaborated frequently with several co-authors, including:

  • Anna Hartmann
  • Nuwantha Fernando
  • Dihua Sun
  • Min Zhao
  • Marion Schulz

Publication venues where Liuping Wang has appeared multiple times include:

  • Angewandte Chemie International Edition
  • Angewandte Chemie
  • IFAC-PapersOnLine
  • Swinburne Research Bank (Swinburne University of Technology)
  • IEEE Transactions on Control Systems Technology

Liuping Wang's research primarily focuses on engineering disciplines, supporting advancements in both fundamental and applied aspects of system and control engineering along with contributions to chemistry-related fields.

Best Publications

  • Model Predictive Control System Design and Implementation Using MATLAB

    Liuping Wang

  • Identification of Continuous-time Models from Sampled Data

    Hugues Garnier;Liuping Wang

  • Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance

    Hugues Garnier;Liuping Wang;Peter C. Young;Peter C. Young

  • Discrete model predictive controller design using Laguerre functions

    Liuping Wang

  • A new approach to the identification of pH processes based on the Wiener model

    A. Kalafatis;N. Arifin;L. Wang;W.R. Cluett

  • A Cascade MPC Control Structure for a PMSM With Speed Ripple Minimization

    Shan Chai;Liuping Wang;E. Rogers

  • PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

    Liuping Wang;Lu Gan;Dae Yoo;Shan Chai

  • Tuning PID controllers for integrating processes

    L. Wang;W.R. Cluett

  • A systematic survey on the design of self-adaptive software systems using control engineering approaches

    Tharindu Patikirikorala;Alan Colman;Jun Han;Liuping Wang

  • Identification of Wiener-type nonlinear systems in a noisy environment

    A. D. Kalafatis;L. Wang;W. R. Cluett

  • PID Control System Design and Automatic Tuning using MATLAB/Simulink

    Liuping Wang

  • Model Predictive Control: Design and implementation using MATLAB (T-3)

    Liuping Wang

  • Gain Scheduled Attitude Control of Fixed-Wing UAV With Automatic Controller Tuning

    Pakorn Poksawat;Liuping Wang;Abdulghani Mohamed

  • An improved structure for model predictive control using non-minimal state space realisation

    Liuping Wang;Peter C. Young

  • From Plant Data to Process Control: Ideas for Process Identification and PID Design

    Liuping Wang

  • Event-driven intermittent control

    Peter J. Gawthrop;Liuping Wang

  • Model predictive control of a permanent magnet synchronous motor with experimental validation

    Shan Chai;Liuping Wang;Eric Rogers

  • New frequency-domain design method for PID controllers

    L. Wang;T.J.D. Barnes;W.R. Cluett

  • Continuous time model predictive control design using orthonormal functions

    Liuping Wang

  • Intermittent Predictive Control of an Inverted Pendulum

    Peter J. Gawthrop;Liuping Wang

Frequent Co-Authors

Peter J. Gawthrop
Peter J. Gawthrop University of Melbourne
Eric Rogers
Eric Rogers University of Southampton
Xinghuo Yu
Xinghuo Yu RMIT University
Peter C. Young
Peter C. Young Lancaster University
Chris Freeman
Chris Freeman Bangor University
Brendan McGrath
Brendan McGrath RMIT University
Jun Han
Jun Han Swinburne University of Technology
Branko Ristic
Branko Ristic RMIT University
Henk Nijmeijer
Henk Nijmeijer Eindhoven University of Technology
Bin Wang
Bin Wang University of Hawaii at Manoa

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