World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
10307
World Ranking
2429
National Ranking
937

Le Yi Wang 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 Le Yi Wang 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: 344 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Le Yi Wang 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 Le Yi Wang 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: 53 D-Index — 66th percentile

66% 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

  • 2012 - IEEE Fellow For contributions to system identification and the analysis of system complexity

Overview

Le Yi Wang is affiliated with Wayne State University in the United States and specializes in the field of engineering, with a particular focus on electrical and electronic engineering, control and systems engineering, computer networks and communications, automotive engineering, and computational theory and mathematics. Their research spans multiple subfields centered around control systems, battery technologies, and energy management.

The main topics of their research include:

  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Smart Grid Energy Management
  • Fault Detection and Control Systems
  • Stability and Control of Uncertain Systems
  • Control Systems and Identification

Major publication venues where Le Yi Wang's work frequently appears include:

  • IEEE Transactions on Automatic Control
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • International Journal of Electrical Power & Energy Systems
  • Automatica

Among their recent publications are:

  • "Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles," 2020, Journal of Energy Storage
  • "Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered," 2021, Journal of Cleaner Production
  • "Fault diagnosis for lithium-ion batteries in electric vehicles based on signal decomposition and two-dimensional feature clustering," 2022, Green Energy and Intelligent Transportation
  • "Early Diagnosis of Accelerated Aging for Lithium-Ion Batteries With an Integrated Framework of Aging Mechanisms and Data-Driven Methods," 2022, IEEE Transactions on Transportation Electrification
  • "The Degradation Characteristics and Mechanism of Li[Ni0.5Co0.2Mn0.3]O2 Batteries at Different Temperatures and Discharge Current Rates," 2020, Journal of The Electrochemical Society

Frequent collaborators in their research include:

  • George Yin
  • Masoud H. Nazari
  • Wen Chen
  • Siyu Xie
  • Feng Lin

Le Yi Wang was recognized as an IEEE Fellow in 2012 for contributions to system identification and the analysis of system complexity.

Best Publications

  • Electric Vehicle Battery Technologies

    Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz

  • VCONF: a reinforcement learning approach to virtual machines auto-configuration

    Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang

  • System identification using binary sensors

    Le Yi Wang;Ji-Feng Zhang;G.G. Yin

  • A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter

    Rui Xiong;Quanqing Yu;Quanqing Yu;Le Yi Wang;Cheng Lin

  • Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang

  • Distributed Cooperative Optimal Control of DC Microgrids With Communication Delays

    Lei Ding;Qing-Long Han;Le Yi Wang;Eyad Sindi

  • System Identification with Quantized Observations

    Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao

  • A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery

    Caiping Zhang;Jiuchun Jiang;Linjing Zhang;Sijia Liu

  • Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries

    Caiping Zhang;Le Yi Wang;Xue Li;Wen Chen

  • Communication Information Structures and Contents for Enhanced Safety of Highway Vehicle Platoons

    Lijian Xu;Le Yi Wang;Gang George Yin;Hongwei Zhang

  • Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles

    Jichao Hong;Jichao Hong;Zhenpo Wang;Wen Chen;Le-Yi Wang

  • A capacity model based on charging process for state of health estimation of lithium ion batteries

    Xue Li;Jiuchun Jiang;Le Yi Wang;Dafen Chen

  • 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

  • Asymptotically efficient parameter estimation using quantized output observations

    Le Yi Wang;G. George Yin

  • Enhanced Identification of Battery Models for Real-Time Battery Management

    M Sitterly;Le Yi Wang;G G Yin;Caisheng Wang

  • Integrated System Identification and State-of-Charge Estimation of Battery Systems

    Lezhang Liu;Le Yi Wang;Ziqiang Chen;Caisheng Wang

  • 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

  • Robust Longitudinal Control of Multi-Vehicle Systems—A Distributed H-Infinity Method

    Shengbo Eben Li;Feng Gao;Keqiang Li;Le-Yi Wang

  • Influence of information flow topology on closed-loop stability of vehicle platoon with rigid formation

    Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Le Yi Wang

  • Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered

    Jichao Hong;Zhenpo Wang;Wen Chen;Leyi Wang

  • Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model

    Zhiwei He;Mingyu Gao;Caisheng Wang;Leyi Wang

  • Joint identification of plant rational models and noise distribution functions using binary-valued observations

    Le Yi Wang;G. George Yin;Ji-Feng Zhang

Frequent Co-Authors

George Yin
George Yin University of Connecticut
Ji-Feng Zhang
Ji-Feng Zhang Chinese Academy of Sciences
Feng Lin
Feng Lin Wayne State University
Caisheng Wang
Caisheng Wang Wayne State University
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Jing Sun
Jing Sun University of Michigan–Ann Arbor
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Weige Zhang
Weige Zhang Beijing Jiaotong University
Keqiang Li
Keqiang Li Tsinghua University

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