World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6246
World Ranking
4522
National Ranking
1602

Wenzhong Gao 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 Wenzhong Gao 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: 170 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Wenzhong Gao 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 Wenzhong Gao 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: 40 D-Index — 36th percentile

36% 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

  • 2021 - IEEE Fellow For contributions to grid integration of wind power and electric vehicle technology

Overview

Wenzhong Gao is affiliated with the University of Denver in the United States and has an extensive publication record primarily in the field of Engineering.

Their main research fields include Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering, and Artificial Intelligence.

Gao's work addresses several key topics within their fields of study, which include:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Power Systems and Renewable Energy
  • Energy Load and Power Forecasting
  • Power System Optimization and Stability
  • Electric Power System Optimization

Frequent publication venues where Gao has contributed include:

  • SSRN Electronic Journal
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Industrial Informatics
  • Journal of Modern Power Systems and Clean Energy
  • Applied Energy

Gao's recent papers cover a range of topics related to energy systems and power control. Selected examples include:

  • "Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm," 2020, IEEE Transactions on Smart Grid
  • "A Distributed Double-Newton Descent Algorithm for Cooperative Energy Management of Multiple Energy Bodies in Energy Internet," 2020, IEEE Transactions on Industrial Informatics
  • "Data-driven Optimal Control Strategy for Virtual Synchronous Generator via Deep Reinforcement Learning Approach," 2021, Journal of Modern Power Systems and Clean Energy
  • "Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control," 2021, IEEE Transactions on Computational Social Systems
  • "A modified-electrochemical impedance spectroscopy-based multi-time-scale fractional-order model for lithium-ion batteries," 2021, Electrochimica Acta

Among frequent collaborators, Gao has worked with:

  • Yushuai Li
  • Qiuye Sun
  • Jun Jason Zhang
  • Tianlu Gao
  • Wei Gao

Recognition of Gao's contributions to their field includes the honor of IEEE Fellow awarded in 2021 for contributions to grid integration of wind power and electric vehicle technology.

Best Publications

  • Performance comparison of a fuel cell-battery hybrid powertrain and a fuel cell ultracapacitor hybrid powertrain

    Wenzhong Gao

  • A Comprehensive Battery Energy Storage Optimal Sizing Model for Microgrid Applications

    Ibrahim Alsaidan;Amin Khodaei;Wenzhong Gao

  • An Alternative Method for Power System Dynamic State Estimation Based on Unscented Transform

    Shaobu Wang;Wenzhong Gao;A. P. S. Meliopoulos

  • State-of-the-art review on frequency response of wind power plants in power systems

    Ziping Wu;Wenzhong Gao;Tianqi Gao;Weihang Yan

  • Comparison and review of islanding detection techniques for distributed energy resources

    R.S. Kunte;Wenzhong Gao

  • Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets

    A. Kumar;W. Gao

  • Optimal PMU Placement Considering Controlled Islanding of Power System

    Lei Huang;Yuanzhang Sun;Jian Xu;Wenzhong Gao

  • Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods

    Huaiguang Jiang;Jun J. Zhang;Wenzhong Gao;Ziping Wu

  • Energy Efficient Security Algorithm for Power Grid Wide Area Monitoring System

    Meikang Qiu;Wenzhong Gao;Min Chen;Jian-Wei Niu

  • Closed-Loop Analysis and Cascade Control of a Nonminimum Phase Boost Converter

    Zengshi Chen;Wenzhong Gao;Jiangang Hu;Xiao Ye

  • A Wavelet-Based Data Compression Technique for Smart Grid

    Jiaxin Ning;Jianhui Wang;Wenzhong Gao;Cong Liu

  • A rapid low-temperature internal heating strategy with optimal frequency based on constant polarization voltage for lithium-ion batteries

    Haijun Ruan;Jiuchun Jiang;Bingxiang Sun;Weige Zhang

  • Design optimization of a parallel hybrid electric powertrain

    W. Gao;S.K. Porandla

  • A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack

    Jiuchun Jiang;Haijun Ruan;Bingxiang Sun;Leyi Wang

  • Adaptive Time Delay Compensator (ATDC) Design for Wide-Area Power System Stabilizer

    Lin Cheng;Gang Chen;Wenzhong Gao;Fang Zhang

  • A reduced low-temperature electro-thermal coupled model for lithium-ion batteries

    Jiuchun Jiang;Haijun Ruan;Bingxiang Sun;Weige Zhang

  • Wavelet-Based Disturbance Analysis for Power System Wide-Area Monitoring

    Wenzhong Gao;Jiaxin Ning

  • Wind power plant prediction by using neural networks

    Ziqiao Liu;Wenzhong Gao;Yih-Huei Wan;Eduard Muljadi

  • Hybrid Vehicle Design Using Global Optimisation Algorithms

    Wenzhong Gao;Chris Mi

  • A modified-electrochemical impedance spectroscopy-based multi-time-scale fractional-order model for lithium-ion batteries

    Haijun Ruan;Haijun Ruan;Bingxiang Sun;Jiuchun Jiang;Weige Zhang

  • Probabilistic Approach for Power Capacity Specification of Wind Energy Storage Systems

    Xiaoyu Wang;Meng Yue;Eduard Muljadi;Wenzhong Gao

Frequent Co-Authors

Eduard Muljadi
Eduard Muljadi Auburn University
Yuanzhang Sun
Yuanzhang Sun Wuhan University
Amin Khodaei
Amin Khodaei University of Denver
Vahan Gevorgian
Vahan Gevorgian National Renewable Energy Laboratory
Weige Zhang
Weige Zhang Beijing Jiaotong University
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology
Le Yi Wang
Le Yi Wang Wayne State University
Ranjan Kumar Behera
Ranjan Kumar Behera Indian Institute of Technology Patna
Yonghua Song
Yonghua Song University of Macau
Huaguang Zhang
Huaguang Zhang Northeastern University

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Related Online Degrees & Career Pathways

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Many working professionals choose to upskill through bachelor degree programs for working adults. These flexible programs allow students to balance education with career demands, making it easier to advance without taking extended time off work.

Additionally, those interested in the educational side of engineering may consider an instructional design masters online. This degree focuses on creating effective learning experiences, which can be valuable for developing technical training programs within engineering firms or academic settings.

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