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Electronics and Electrical Engineering
China
2026
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Electronics and Electrical Engineering
Singapore
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
117
Citations
48068
World Ranking
75
National Ranking
8

Zhao Yang Dong 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 Zhao Yang Dong 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: 886 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Zhao Yang Dong 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 Zhao Yang Dong 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: 117 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Singapore Leader Award

Overview

Zhao Yang Dong is affiliated with Nanyang Technological University in Singapore and has a significant body of work in the field of Engineering, particularly focusing on Electrical and Electronic Engineering, Control and Systems Engineering, and Artificial Intelligence. Their research spans multiple subfields and topics related to smart grid technologies, energy systems optimization, and renewable energy integration.

The scientist's main areas of study include:

  • Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Automotive Engineering

In terms of research topics, Zhao Yang Dong has contributed to numerous aspects of energy management and power systems, including:

  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Energy Load and Power Forecasting
  • Smart Grid Security and Resilience
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure

Their recent publications demonstrate a focus on energy storage, renewable energy systems, and forecasting methods, with notable papers such as:

  • Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues, 2021, Journal of Energy Storage
  • Hydrogen energy storage integrated hybrid renewable energy systems: A review analysis for future research directions, 2022, International Journal of Hydrogen Energy
  • A comprehensive review of variable renewable energy levelized cost of electricity, 2020, Renewable and Sustainable Energy Reviews
  • Deep Concatenated Residual Network With Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting, 2020, IEEE Transactions on Sustainable Energy
  • A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications, 2020, Energy Policy

Zhao Yang Dong frequently collaborates with a number of researchers, including:

  • Jing Qiu
  • Cuo Zhang
  • Ke Meng
  • Junhua Zhao
  • Fengji Luo

The scientist has published in respected venues that focus on aspects of smart grids, power systems, and industrial informatics. Frequent publication venues include:

  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Industrial Informatics
  • SSRN Electronic Journal
  • IEEE Transactions on Sustainable Energy

Best Publications

  • Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

    Weicong Kong;Zhao Yang Dong;Youwei Jia;David J. Hill

  • The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

    Gaoqi Liang;Steven R. Weller;Junhua Zhao;Fengji Luo

  • A Review of False Data Injection Attacks Against Modern Power Systems

    Gaoqi Liang;Junhua Zhao;Fengji Luo;Steven R. Weller

  • Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine

    Can Wan;Zhao Xu;Pierre Pinson;Zhao Yang Dong

  • Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

    Weicong Kong;Zhao Yang Dong;David J. Hill;Fengji Luo

  • Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues

    M.A. Hannan;S.B. Wali;P.J. Ker;M.S. Abd Rahman

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

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

  • Advanced Control Strategy of DFIG Wind Turbines for Power System Fault Ride Through

    Lihui Yang;Zhao Xu;J. Ostergaard;Zhao Yang Dong

  • Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks

    Gaoqi Liang;Steven R. Weller;Fengji Luo;Junhua Zhao

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

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Coordinated Control of Grid-Connected Photovoltaic Reactive Power and Battery Energy Storage Systems to Improve the Voltage Profile of a Residential Distribution Feeder

    M. N. Kabir;Y. Mishra;G. Ledwich;Z. Y. 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

  • Optimal Prediction Intervals of Wind Power Generation

    Can Wan;Zhao Xu;Pierre Pinson;Zhao Yang Dong

  • Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

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

  • Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization

    JunHua Zhao;Fushuan Wen;Zhao Yang Dong;Yusheng Xue

  • A Distributed Electricity Trading System in Active Distribution Networks Based on Multi-Agent Coalition and Blockchain

    Fengji Luo;Zhao Yang Dong;Gaoqi Liang;Junichi Murata

  • Multi-Timescale Coordinated Voltage/Var Control of High Renewable-Penetrated Distribution Systems

    Yan Xu;Zhao Yang Dong;Rui Zhang;David J. Hill

  • Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures

    R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong

  • Three-phase doubly fed induction generators: an overview

    M. Tazil;V. Kumar;R.C. Bansal;S. Kong

Frequent Co-Authors

Ke Meng
Ke Meng University of New South Wales
Yan Xu
Yan Xu Nanyang Technological University
Kit Po Wong
Kit Po Wong University of Western Australia
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Tapan Kumar Saha
Tapan Kumar Saha University of Queensland
Fushuan Wen
Fushuan Wen Zhejiang University
Rui Zhang
Rui Zhang National University of Singapore
Gerard Ledwich
Gerard Ledwich Queensland University of Technology
Yateendra Mishra
Yateendra Mishra Queensland University of Technology

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