World's Best Scientists 2026 revealed!
Liangzhong Yao

Liangzhong Yao

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
8418
World Ranking
4058
National Ranking
623

Liangzhong Yao 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 Liangzhong Yao 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: 321 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Liangzhong Yao 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 Liangzhong Yao 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: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Liangzhong Yao is affiliated with Wuhan University in China and has contributed extensively to engineering research, focusing primarily on electrical and electronic engineering.

Their work spans various subfields, including:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering

Main topics in their research include:

  • Microgrid Control and Optimization
  • Power Systems and Renewable Energy
  • Smart Grid Energy Management
  • HVDC Systems and Fault Protection
  • Optimal Power Flow Distribution
  • High-Voltage Power Transmission Systems
  • Electric Power System Optimization

Their recent publications highlight practical applications and technological developments in power systems and renewable energy. Notable papers are:

  • "Frequency-Domain Decomposition and Deep Learning Based Solar PV Power Ultra-Short-Term Forecasting Model," 2021, IEEE Transactions on Industry Applications
  • "Coordinating EV Charging via Blockchain," 2020, Journal of Modern Power Systems and Clean Energy
  • "Review on operation control strategy of DC microgrid with electric-hydrogen hybrid storage system," 2022, CSEE Journal of Power and Energy Systems
  • "A Concurrent Fault Diagnosis Method of Transformer Based on Graph Convolutional Network and Knowledge Graph," 2022, Frontiers in Energy Research
  • "Doping La into NiFe LDH/NiS heterostructure achieving high-current-density oxygen evolution for anion exchange membrane water electrolysis," 2025, Chemical Engineering Journal

Frequent co-authors in their collaborative work include Siyang Liao, Jian Xu, Fan Cheng, Beilin Mao, and Deping Ke.

The most common venues for their publications are:

  • 2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)
  • International Journal of Electrical Power & Energy Systems
  • IET conference proceedings.
  • IEEE Transactions on Power Systems
  • SSRN Electronic Journal

Best Publications

  • Grid Integration of Large DFIG-Based Wind Farms Using VSC Transmission

    Lie Xu;Liangzhong Yao;C. Sasse

  • Design and Operation of a Hybrid Modular Multilevel Converter

    Rong Zeng;Lie Xu;Liangzhong Yao;Barry W. Williams

  • DC Fault Detection and Location in Meshed Multiterminal HVDC Systems Based on DC Reactor Voltage Change Rate

    Rui Li;Lie Xu;Liangzhong Yao

  • DC Voltage Variation Based Autonomous Control of DC Microgrids

    Dong Chen;Lie Xu;Liangzhong Yao

  • Challenges and progresses of energy storage technology and its application in power systems

    Liangzhong Yao;Bo Yang;Hongfen Cui;Jun Zhuang

  • DC voltage control and power dispatch of a multi-terminal HVDC system for integrating large offshore wind farms

    Lie Xu;Liangzhong Yao

  • Optimal Power Flow Solution Incorporating Wind Power

    Libao Shi;Chen Wang;Liangzhong Yao;Yixin Ni

  • Integrating wind farm to the grid using hybrid multi-terminal HVDC technology

    Xia Chen;Haishun Sun;Jinyu Wen;Wei-Jen Lee

  • Precharging and DC Fault Ride-Through of Hybrid MMC-Based HVDC Systems

    Rong Zeng;Lie Xu;Liangzhong Yao;D. John Morrow

  • Multi-terminal DC transmission systems for connecting large offshore wind farms

    Lie Xu;B.W. Williams;Liangzhong Yao

  • Two-Stage Optimization of Battery Energy Storage Capacity to Decrease Wind Power Curtailment in Grid-Connected Wind Farms

    Xiaowei Dui;Guiping Zhu;Liangzhong Yao

  • Large Offshore DFIG-Based Wind Farm With Line-Commutated HVDC Connection to the Main Grid: Engineering Studies

    S. Bozhko;G. Asher;Risheng Li;J. Clare

  • DC grid management of a multi-terminal HVDC transmission system for large offshore wind farms

    Lie Xu;Liangzhong Yao;Masoud Bazargan

  • Frequency-Domain Decomposition and Deep Learning Based Solar PV Power Ultra-Short-Term Forecasting Model

    Jichuan Yan;Lin Hu;Zhao Zhen;Fei Wang

  • Integrating Wind Farm to the Grid Using Hybrid Multiterminal HVDC Technology

    Unknown

  • Probabilistic Evaluation of Available Load Supply Capability for Distribution System

    Shenxi Zhang;Haozhong Cheng;Libo Zhang;Masoud Bazargan

  • Comparison of Using SVC and STATCOM for Wind Farm Integration

    Lie Xu;Liangzhong Yao;C. Sasse

  • Hybrid HVDC for Integrating Wind Farms With Special Consideration on Commutation Failure

    Rong Zeng;Lie Xu;Liangzhong Yao;Stephen J. Finney

  • Distribution network planning method considering distributed generation for peak cutting

    Wu Ouyang;Haozhong Cheng;Xiubin Zhang;Liangzhong Yao

  • Vulnerability assessment for cascading failures in electric power systems

    Ross Baldick;Badrul Chowdhury;Ian Dobson;Zhaoyang Dong

  • Distributed generation planning in active distribution network considering demand side management and network reconfiguration

    Shenxi Zhang;Haozhong Cheng;Dan Wang;Libo Zhang

Frequent Co-Authors

Lie Xu
Lie Xu University of Strathclyde
Jinyu Wen
Jinyu Wen Huazhong University of Science and Technology
Barry W. Williams
Barry W. Williams University of Strathclyde
Greg Asher
Greg Asher University of Nottingham
Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham
Chengshan Wang
Chengshan Wang Tianjin University
Xu Cai
Xu Cai Shanghai Jiao Tong University
Serhiy Bozhko
Serhiy Bozhko University of Nottingham
Mark Sumner
Mark Sumner University of Nottingham
Christian Klumpner
Christian Klumpner University of Nottingham

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