World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
5814
World Ranking
5127
National Ranking
750

Xiaomeng Ai 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 Xiaomeng Ai 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: 183 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Xiaomeng Ai 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 Xiaomeng Ai 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Xiaomeng Ai is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on the field of engineering, with specific expertise in electrical and electronic engineering, control and systems engineering, and energy engineering and power technology. The scientist has also contributed to subfields involving renewable energy, sustainability, and automotive engineering.

The main topics Xiaomeng Ai has explored in their work include:

  • Microgrid Control and Optimization
  • Hybrid Renewable Energy Systems
  • Smart Grid Energy Management
  • Integrated Energy Systems Optimization
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • HVDC Systems and Fault Protection

Their publication record includes papers in notable journals such as Applied Energy, Advanced Energy Materials, Nano-Micro Letters, IEEE Transactions on Power Systems, and others. Frequent publication venues include:

  • Applied Energy
  • SSRN Electronic Journal
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Power Systems

Xiaomeng Ai has published on various topics related to energy systems and power technology. Some recent papers include:

  • "Schottky Heterojunction Nanosheet Array Achieving High-Current-Density Oxygen Evolution for Industrial Water Splitting Electrolyzers" (2021, Advanced Energy Materials)
  • "Convolutional neural network-based power system transient stability assessment and instability mode prediction" (2020, Applied Energy)
  • "Comparative study of alkaline water electrolysis, proton exchange membrane water electrolysis and solid oxide electrolysis through multiphysics modeling" (2022, Applied Energy)
  • "2D CoOOH Sheet-Encapsulated Ni2P into Tubular Arrays Realizing 1000 mA cm−2-Level-Current-Density Hydrogen Evolution Over 100 h in Neutral Water" (2020, Nano-Micro Letters)
  • "Two-Level Combined Control Scheme of VSC-MTDC Integrated Offshore Wind Farms for Onshore System Frequency Support" (2020, IEEE Transactions on Power Systems)

The scientist collaborates frequently with a number of other researchers. Notable co-authors include:

  • Jiakun Fang
  • Jinyu Wen
  • Wei Yao
  • Shichang Cui
  • Zhiyao Zhong

Best Publications

  • Dynamic Optimal Energy Flow in the Integrated Natural Gas and Electrical Power Systems

    Jiakun Fang;Qing Zeng;Xiaomeng Ai;Zhe Chen

  • Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

    Hang Shuai;Jiakun Fang;Xiaomeng Ai;Yufei Tang

  • Coordinated Regional-District Operation of Integrated Energy Systems for Resilience Enhancement in Natural Disasters

    Mingyu Yan;Yubin He;Mohammad Shahidehpour;Xiaomeng Ai

  • Coordinated Regional-District Operation of Integrated Energy Systems for Resilience Enhancement in Natural Disasters

    Mingyu Yan;Yubin He;Mohammad Shahidehpour;Xiaomeng Ai

  • Convolutional neural network-based power system transient stability assessment and instability mode prediction

    Zhongtuo Shi;Wei Yao;Lingkang Zeng;Jianfeng Wen

  • Impedance Modeling and Stability Analysis of Grid-Connected DFIG-Based Wind Farm With a VSC-HVDC

    Kun Sun;Wei Yao;Jiakun Fang;Xiaomeng Ai

  • Robust Two-Stage Regional-District Scheduling of Multi-carrier Energy Systems With a Large Penetration of Wind Power

    Mingyu Yan;Ning Zhang;Xiaomeng Ai;Mohammad Shahidehpour

  • Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach

    Hang Shuai;Jiakun Fang;Xiaomeng Ai;Jinyu Wen

  • Security constrained co-planning of transmission expansion and energy storage

    Wei Gan;Xiaomeng Ai;Jiakun Fang;Jiakun Fang;Mingyu Yan

  • Two-Level Combined Control Scheme of VSC-MTDC Integrated Offshore Wind Farms for Onshore System Frequency Support

    Yongxin Xiong;Wei Yao;Jianfeng Wen;Siqi Lin

  • Data-Adaptive Robust Optimization Method for the Economic Dispatch of Active Distribution Networks

    Yipu Zhang;Xiaomeng Ai;Jinyu Wen;Jiakun Fang

  • A Discrete Point Estimate Method for Probabilistic Load Flow Based on the Measured Data of Wind Power

    Xiaomeng Ai;Jinyu Wen;Tong Wu;Wei-Jen Lee

  • Dynamic modeling and small signal stability analysis of distributed photovoltaic grid-connected system with large scale of panel level DC optimizers

    Qin Wang;Wei Yao;Jiakun Fang;Xiaomeng Ai

  • Probability Density Function of Wind Power Variations

    Weixing Lin;Jinyu Wen;Xiaomeng Ai;Shijie Cheng

  • Comprehensive review of commutation failure in HVDC transmission systems

    Unknown

  • Enhancing the Transmission Grid Resilience in Ice Storms by Optimal Coordination of Power System Schedule With Pre-Positioning and Routing of Mobile DC De-Icing Devices

    Mingyu Yan;Xiaomeng Ai;Mohammad Shahidehpour;Zhiyi Li

  • Probabilistic Analysis of Commutation Failure in LCC-HVDC System Considering the CFPREV and the Initial Fault Voltage Angle

    Wei Yao;Chang Liu;Jiakun Fang;Xiaomeng Ai

  • A systematic approach for the joint dispatch of energy and reserve incorporating demand response

    Menglin Zhang;Xiaomeng Ai;Jiakun Fang;Wei Yao

  • Data-adaptive robust unit commitment in the hybrid AC/DC power system

    Bo Zhou;Xiaomeng Ai;Jiakun Fang;Wei Yao

  • Decentralized computation method for robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power

    Wei Gan;Mingyu Yan;Wei Yao;Jianbo Guo

  • Dynamic event-triggered robust secondary frequency control for islanded AC microgrid

    Chao Yang;Wei Yao;Jiakun Fang;Xiaomeng Ai

  • Dynamic Var Reserve-Constrained Coordinated Scheduling of LCC-HVDC Receiving-End System Considering Contingencies and Wind Uncertainties

    Bo Zhou;Jiakun Fang;Xiaomeng Ai;Chengxiang Yang

Frequent Co-Authors

Jinyu Wen
Jinyu Wen Huazhong University of Science and Technology
Jiakun Fang
Jiakun Fang Huazhong University of Science and Technology
Wei Yao
Wei Yao Hong Kong Polytechnic University
Zhe Chen
Zhe Chen Aalborg University
Haibo He
Haibo He University of Rhode Island
Shijie Cheng
Shijie Cheng Huazhong University of Science and Technology
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Wei-Jen Lee
Wei-Jen Lee The University of Texas at Arlington
Zhiyi Li
Zhiyi Li Zhejiang University

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