World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
10129
World Ranking
2309
National Ranking
77

Ke Meng 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 Ke Meng 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: 446 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: 244 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ke Meng 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 Ke Meng sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Ke Meng is affiliated with the University of New South Wales in Australia and works primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering. Their research covers a broad range of topics related to energy systems and smart grid technologies.

Their main areas of study include:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Quantum and Electron Transport Phenomena
  • Power System Optimization and Stability
  • Power System Reliability and Maintenance

Ke Meng has co-authored extensively with a group of frequent collaborators, including:

  • Zhao Yang Dong (17 publications together)
  • Zhaoyang Dong (8 publications together)
  • Xiangnan Sun (8 publications together)
  • Xianrong Gu (7 publications together)
  • Lidan Guo (7 publications together)

Their research outputs have been published in several key venues, notable among these are:

  • Advanced Materials (6 publications)
  • 2020 International Conference on Smart Grids and Energy Systems (SGES) (5 publications)
  • SSRN Electronic Journal (5 publications)
  • International Journal of Electrical Power & Energy Systems (4 publications)
  • IEEE Transactions on Power Systems (4 publications)

Some of their recent papers include:

  • "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," 2020, Energy Policy
  • "Economic Dispatch of Integrated Energy Systems With Robust Thermal Comfort Management," 2020, IEEE Transactions on Sustainable Energy
  • "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," 2020, Applied Energy
  • "A multi-disaster-scenario distributionally robust planning model for enhancing the resilience of distribution systems," 2020, International Journal of Electrical Power & Energy Systems
  • "Robust Regional Coordination of Inverter-Based Volt/Var Control via Multi-Agent Deep Reinforcement Learning," 2021, IEEE Transactions on Smart Grid

Best Publications

  • Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning

    Yu Zheng;Zhao Yang Dong;Yan Xu;Ke Meng

  • A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch

    Ke Meng;Hong Gang Wang;ZhaoYang Dong;Kit Po Wong

  • Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations

    Yu Zheng;Zhao Yang Dong;Feng Ji Luo;Ke Meng

  • Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

    Xia Chen;Zhao Yang Dong;Ke Meng;Yan Xu

  • Coordinated Operational Planning for Wind Farm With Battery Energy Storage System

    Fengji Luo;Ke Meng;Zhao Yang Dong;Yu Zheng

  • Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia

    Fang Yao;Zhao Yang Dong;Ke Meng;Zhao Xu

  • Low Carbon Oriented Expansion Planning of Integrated Gas and Power Systems

    Jing Qiu;Zhao Yang Dong;Jun Hua Zhao;Ke Meng

  • A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications

    Yang Andrew Wu;Artie W. Ng;Zichao Yu;Jie Huang

  • Two-stage energy management for networked microgrids with high renewable penetration

    Dongxiao Wang;Jing Qiu;Luke Reedman;Ke Meng

  • Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine

    Rui Zhang;Zhao Yang Dong;Yan Xu;Ke Meng

  • Online Distributed MPC-Based Optimal Scheduling for EV Charging Stations in Distribution Systems

    Yu Zheng;Yue Song;David J. Hill;Ke Meng

  • A comprehensive review of variable renewable energy levelized cost of electricity

    Wei Shen;Xi Chen;Jing Qiu;Jennifier A Hayward

  • Stochastic Collaborative Planning of Electric Vehicle Charging Stations and Power Distribution System

    Shu Wang;Zhao Yang Dong;Fengji Luo;Ke Meng

  • A Self-Adaptive RBF Neural Network Classifier for Transformer Fault Analysis

    Ke Meng;Zhao Yang Dong;Dian Hui Wang;Kit Po Wong

  • Real-time transient stability assessment model using extreme learning machine

    Y. Xu;Z.Y. Dong;K. Meng;R. Zhang

  • Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration

    Yongxi Zhang;Zhao Yang Dong;Fengji Luo;Yu Zheng

  • Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework

    Jing Qiu;Ke Meng;Yu Zheng;Zhao Yang Dong

  • Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm

    Yan Xu;Zhao Yang Dong;Ke Meng;Wei Feng Yao

  • Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition

    Yongxi Zhang;Shuyun Ren;Zhao Yang Dong;Yan Xu

  • A Linear Programming Approach to Expansion Co-Planning in Gas and Electricity Markets

    Jing Qiu;Hongming Yang;Zhao Yang Dong;Jun Hua Zhao

Frequent Co-Authors

Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Kit Po Wong
Kit Po Wong University of Western Australia
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Yan Xu
Yan Xu Nanyang Technological University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology
Weidong Xiao
Weidong Xiao University of Sydney
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Fushuan Wen
Fushuan Wen Zhejiang University

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