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Electronics and Electrical Engineering
USA
2026
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Engineering and Technology
USA
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
103
Citations
37257
World Ranking
159
National Ranking
78

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2021 - IEEE Fellow For contributions to unit commitment and economic dispatch with renewable generation

Overview

Jianhui Wang is affiliated with Southern Methodist University in the United States. Their research primarily focuses on engineering, with significant contributions to the subfields of electrical and electronic engineering, control and systems engineering, energy engineering and power technology, safety, risk, reliability and quality, and materials chemistry.

The main topics covered by Jianhui Wang's work include:

  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Power System Optimization and Stability
  • Smart Grid Security and Resilience
  • Integrated Energy Systems Optimization
  • Electric Vehicles and Infrastructure

Jianhui Wang has published extensively in several venues, notably:

  • IEEE Transactions on Power Systems (16 publications)
  • IEEE Transactions on Smart Grid (16 publications)
  • IEEE Power and Energy Magazine (12 publications)
  • IEEE Transactions on Industrial Informatics (6 publications)
  • IEEE Transactions on Sustainable Energy (6 publications)

Frequent collaborators include:

  • Meng Yue (16 coauthored works)
  • Tianqiao Zhao (12 coauthored works)
  • Michael Henderson (11 coauthored works)
  • John Paserba (11 coauthored works)
  • Antonio J. Conejo (11 coauthored works)

Some of Jianhui Wang's recent papers are:

  • "Applications of Physics-Informed Neural Networks in Power Systems - A Review," published in 2022 in IEEE Transactions on Power Systems
  • "Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review," published in 2020 in IEEE Transactions on Smart Grid
  • "Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach," published in 2020 in IEEE Transactions on Smart Grid
  • "Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems," published in 2020 in IEEE Transactions on Smart Grid
  • "Deep learning in power systems research: A review," published in 2020 in CSEE Journal of Power and Energy Systems

Jianhui Wang received the IEEE Fellow award in 2021 for contributions to unit commitment and economic dispatch with renewable generation.

Best Publications

  • Security-constrained unit commitment with volatile wind power generation

    Jianhui Wang;Mohammad Shahidehpour;Zuyi Li

  • Smart Transmission Grid: Vision and Framework

    Fangxing Li;Wei Qiao;Hongbin Sun;Hui Wan

  • Research on Resilience of Power Systems Under Natural Disasters—A Review

    Yezhou Wang;Chen Chen;Jianhui Wang;Ross Baldick

  • Robust Unit Commitment With Wind Power and Pumped Storage Hydro

    Ruiwei Jiang;Jianhui Wang;Yongpei Guan

  • Resilient Distribution System by Microgrids Formation After Natural Disasters

    Chen Chen;Jianhui Wang;Feng Qiu;Dongbo Zhao

  • Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources

    Wencong Su;Jianhui Wang;Jaehyung Roh

  • Combined heat and power dispatch considering pipeline energy storage of district heating network

    Zhigang Li;Wenchuan Wu;Mohammad Shahidehpour;Jianhui Wang

  • A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output

    Qianfan Wang;Yongpei Guan;Jianhui Wang

  • Stochastic Optimization for Unit Commitment—A Review

    Qipeng P. Zheng;Jianhui Wang;Andrew L. Liu

  • Multi-stage robust unit commitment considering wind and demand response uncertainties

    Chaoyue Zhao;Jianhui Wang;Jean-Paul Watson;Yongpei Guan

  • 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

  • Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters

    Wei Yuan;Jianhui Wang;Feng Qiu;Chen Chen

  • Wind power forecasting : state-of-the-art 2009.

    C. Monteiro;R. Bessa;V. Miranda;A. Botterud

  • Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response

    Qi Wang;Chunyu Zhang;Yi Ding;George Xydis

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

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Jinho kim

  • Integrated Planning for Transition to Low-Carbon Distribution System With Renewable Energy Generation and Demand Response

    Bo Zeng;Jianhua Zhang;Xu Yang;Jianhui Wang

  • Robust Optimization Based Optimal DG Placement in Microgrids

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Jinho Kim

  • Mobile Emergency Generator Pre-Positioning and Real-Time Allocation for Resilient Response to Natural Disasters

    Shunbo Lei;Jianhui Wang;Chen Chen;Yunhe Hou

  • Networked Microgrids for Self-Healing Power Systems

    Zhaoyu Wang;Bokan Chen;Jianhui Wang;Chen Chen

  • Wind power forecasting uncertainty and unit commitment

    J. Wang;A. Botterud;R. Bessa;H. Keko

  • Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models

    Zhongfu Tan;Jinliang Zhang;Jianhui Wang;Jun Xu

Frequent Co-Authors

Chen Chen
Chen Chen Xi'an Jiaotong University
Zhaoyu Wang
Zhaoyu Wang Iowa State University
Vladimiro Miranda
Vladimiro Miranda University of Porto
Ricardo J. Bessa
Ricardo J. Bessa University of Porto
Xiaonan Lu
Xiaonan Lu Purdue University West Lafayette
Hongbin Sun
Hongbin Sun Tsinghua University
Wei Wei
Wei Wei Tsinghua University
Shengwei Mei
Shengwei Mei Tsinghua University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology

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