World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
11059
World Ranking
3600
National Ranking
1058

Zhaoyu Wang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zhaoyu Wang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 195 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Zhaoyu Wang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zhaoyu Wang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Zhaoyu Wang is affiliated with Iowa State University in the United States and has an extensive research portfolio primarily within the field of Engineering. Their work focuses on subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Materials Chemistry, and Statistical and Nonlinear Physics.

The scientist's recent papers demonstrate a strong emphasis on power systems, energy management, and resilience in smart grids. Notable publications include:

  • ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools, 2024, arXiv (Cornell University)
  • Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids, 2020, IEEE Transactions on Smart Grid
  • A systematic review on power system resilience from the perspective of generation, network, and load, 2022, Renewable and Sustainable Energy Reviews
  • Mobile Emergency Generator Planning in Resilient Distribution Systems: A Three-Stage Stochastic Model With Nonanticipativity Constraints, 2020, IEEE Transactions on Smart Grid
  • Uses, Cost-Benefit Analysis, and Markets of Energy Storage Systems for Electric Grid Applications, 2020, Journal of Energy Storage

Frequent coauthors collaborating with Zhaoyu Wang include:

  • Yuxuan Yuan
  • Fankun Bu
  • Engui Fan
  • Kaveh Dehghanpour
  • Qianzhi Zhang

The core topics addressed throughout their research encompass:

  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Power System Reliability and Maintenance
  • Power System Optimization and Stability
  • Energy Load and Power Forecasting
  • Smart Grid Security and Resilience

Zhaoyu Wang has published extensively in venues recognized for power systems and energy research, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)

Best Publications

  • Coordinated Energy Management of Networked Microgrids in Distribution Systems

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Miroslav M. Begovic

  • Self-Healing Resilient Distribution Systems Based on Sectionalization Into Microgrids

    Zhaoyu Wang;Jianhui Wang

  • Load Modeling—A Review

    Anmar Arif;Zhaoyu Wang;Jianhui Wang;Barry Mather

  • Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events

    Shanshan Ma;Bokan Chen;Zhaoyu Wang

  • A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

    Kaveh Dehghanpour;Zhaoyu Wang;Jianhui Wang;Yuxuan Yuan

  • Decentralized Energy Management System for Networked Microgrids in Grid-Connected and Islanded Modes

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Jinho kim

  • Robust Optimization Based Optimal DG Placement in Microgrids

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Jinho Kim

  • Networked Microgrids for Self-Healing Power Systems

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Chen Chen

  • Review on Implementation and Assessment of Conservation Voltage Reduction

    Zhaoyu Wang;Jianhui Wang

  • Power Distribution System Outage Management With Co-Optimization of Repairs, Reconfiguration, and DG Dispatch

    Anmar Arif;Zhaoyu Wang;Jianhui Wang;Chen Chen

  • Resilience Enhancement of Distribution Grids Against Extreme Weather Events

    Shanshan Ma;Liu Su;Zhaoyu Wang;Feng Qiu

  • Robust Optimization for Transmission Expansion Planning: Minimax Cost vs. Minimax Regret

    Bokan Chen;Jianhui Wang;Lizhi Wang;Yanyi He

  • Optimizing Service Restoration in Distribution Systems With Uncertain Repair Time and Demand

    Anmar Arif;Shanshan Ma;Zhaoyu Wang;Jianhui Wang

  • MPC-Based Voltage/Var Optimization for Distribution Circuits With Distributed Generators and Exponential Load Models

    Zhaoyu Wang;Jianhui Wang;Bokan Chen;Miroslav M. Begovic

  • A systematic review on power system resilience from the perspective of generation, network, and load

    Unknown

  • A Bidding Strategy for Virtual Power Plants With the Intraday Demand Response Exchange Market Using the Stochastic Programming

    Hieu Trung Nguyen;Long Bao Le;Zhaoyu Wang

  • Resilience-Oriented Design of Distribution Systems

    Shanshan Ma;Shiyang Li;Zhaoyu Wang;Feng Qiu

  • Networked microgrids for service restoration in resilient distribution systems

    Anmar Arif;Zhaoyu Wang

  • Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids

    Qianzhi Zhang;Kaveh Dehghanpour;Zhaoyu Wang;Feng Qiu

  • Inverter-Less Hybrid Voltage/Var Control for Distribution Circuits With Photovoltaic Generators

    Zhaoyu Wang;Hao Chen;Jianhui Wang;Miroslav M. Begovic

  • Interactive Model for Energy Management of Clustered Microgrids

    Tianguang Lu;Zhaoyu Wang;Qian Ai;Wei-Jen Lee

  • A Learning-based Power Management for Networked Microgrids Under Incomplete Information

    Qianzhi Zhang;Kaveh Dehghanpour;Zhaoyu Wang;Qiuhua Huang

  • A Data-Driven Stackelberg Market Strategy for Demand Response-Enabled Distribution Systems

    Tianguang Lu;Zhaoyu Wang;Jianhui Wang;Qian Ai

Frequent Co-Authors

Jianhui Wang
Jianhui Wang Southern Methodist University
Chen Chen
Chen Chen Xi'an Jiaotong University
Ian Dobson
Ian Dobson Iowa State University
Leigh Tesfatsion
Leigh Tesfatsion Iowa State University
Miroslav Begovic
Miroslav Begovic Texas A&M University
Yunhe Hou
Yunhe Hou University of Hong Kong
Chenghong Gu
Chenghong Gu University of Bath
Venkataramana Ajjarapu
Venkataramana Ajjarapu Iowa State University
Chao Hu
Chao Hu Iowa State University
Junbo Zhao
Junbo Zhao University of Connecticut

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