World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
8910
World Ranking
3081
National Ranking
162

Gang Lei 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 Gang Lei 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: 252 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Gang Lei 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 Gang Lei 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: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Overview

Gang Lei is affiliated with the University of Technology Sydney in Australia. Their research work primarily falls under the broad field of Engineering, with focused contributions in Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Electronic, Optical and Magnetic Materials, and Automotive Engineering.

The scientist has a significant publication record, with research frequently appearing in specialized journals related to industrial electronics, transportation electrification, and energy conversion. Notable publication venues include:

  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Energy Conversion
  • Energies
  • IEEE Transactions on Magnetics

Gang Lei's research topics cover a range of areas primarily linked to electric motor technology and related systems. The main topics include:

  • Electric Motor Design and Analysis
  • Magnetic Bearings and Levitation Dynamics
  • Magnetic Properties and Applications
  • Sensorless Control of Electric Motors
  • Multilevel Inverters and Converters
  • Induction Heating and Inverter Technology
  • Microgrid Control and Optimization

Several recent papers illustrate the scope and focus of their work. These papers include:

  • Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy, 2020, IEEE Transactions on Industrial Electronics
  • Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems-An Overview, 2022, IEEE/CAA Journal of Automatica Sinica
  • Driving-Cycle-Oriented Design Optimization of a Permanent Magnet Hub Motor Drive System for a Four-Wheel-Drive Electric Vehicle, 2020, IEEE Transactions on Transportation Electrification
  • A Robust Deadbeat Predictive Controller With Delay Compensation Based on Composite Sliding-Mode Observer for PMSMs, 2021, IEEE Transactions on Power Electronics
  • An Improved Model Predictive Current Control for PMSM Drives Based on Current Track Circle, 2020, IEEE Transactions on Industrial Electronics

The scientist collaborates frequently with several co-authors, indicating a network of research partnerships. Key frequent co-authors are:

  • Jianguo Zhu
  • Youguang Guo
  • Xiaodong Sun
  • Youhua Wang
  • Chengcheng Liu

Best Publications

  • Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy

    Xiaodong Sun;Zhou Shi;Gang Lei;Youguang Guo

  • Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems—An Overview

    Unknown

  • System-Level Design Optimization Method for Electrical Drive Systems—Robust Approach

    Gang Lei;Tianshi Wang;Jianguo Zhu;Youguang Guo

  • A Review of Design Optimization Methods for Electrical Machines

    Gang Lei;Jianguo Zhu;Youguang Guo;Chengcheng Liu

  • Analysis and Design Optimization of a Permanent Magnet Synchronous Motor for a Campus Patrol Electric Vehicle

    Xiaodong Sun;Zhou Shi;Gang Lei;Youguang Guo

  • Techniques for Multilevel Design Optimization of Permanent Magnet Motors

    Gang Lei;Chengcheng Liu;Jianguo Zhu;Youguang Guo

  • State Feedback Control for a PM Hub Motor Based on Gray Wolf Optimization Algorithm

    Xiaodong Sun;Changchang Hu;Gang Lei;Youguang Guo

  • Driving-Cycle-Oriented Design Optimization of a Permanent Magnet Hub Motor Drive System for a Four-Wheel-Drive Electric Vehicle

    Xiaodong Sun;Zhou Shi;Yingfeng Cai;Gang Lei

  • A Robust Deadbeat Predictive Controller With Delay Compensation Based on Composite Sliding-Mode Observer for PMSMs

    Xiaodong Sun;Junhao Cao;Gang Lei;Youguang Guo

  • System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach

    Gang Lei;Tianshi Wang;Youguang Guo;Jianguo Zhu

  • An Improved Model Predictive Current Control for PMSM Drives Based on Current Track Circle

    Xiaodong Sun;Minkai Wu;Gang Lei;Youguang Guo

  • Torque Analysis and Dynamic Performance Improvement of a PMSM for EVs by Skew Angle Optimization

    Zhou Shi;Xiaodong Sun;Yingfeng Cai;Zebin Yang

  • Core Losses Analysis of a Novel 16/10 Segmented Rotor Switched Reluctance BSG Motor for HEVs Using Nonlinear Lumped Parameter Equivalent Circuit Model

    Xiaodong Sun;Yichen Shen;Shaohua Wang;Gang Lei

  • Multi-Objective Model-Predictive Control for High-Power Converters

    Jiefeng Hu;Jianguo Zhu;Gang Lei;Glenn Platt

  • Study on Segmented-Rotor Switched Reluctance Motors With Different Rotor Pole Numbers for BSG System of Hybrid Electric Vehicles

    Xiaodong Sun;Kaikai Diao;Gang Lei;Youguang Guo

  • Multiobjective System Level Optimization Method for Switched Reluctance Motor Drive Systems Using Finite-Element Model

    Kaikai Diao;Xiaodong Sun;Gang Lei;Youguang Guo

  • Speed Sensorless Control for Permanent Magnet Synchronous Motors Based on Finite Position Set

    Xiaodong Sun;Junhao Cao;Gang Lei;Youguang Guo

  • A Composite Sliding Mode Control for SPMSM Drives Based on a New Hybrid Reaching Law With Disturbance Compensation

    Xiaodong Sun;Junhao Cao;Gang Lei;Youguang Guo

  • Sliding Mode Direct Torque Control of SPMSMs Based on a Hybrid Wolf Optimization Algorithm

    Zhijia Jin;Xiaodong Sun;Gang Lei;Youguang Guo

  • Speed Sensorless Model Predictive Current Control Based on Finite Position Set for PMSHM Drives

    Xiaodong Sun;Teng Li;Zhen Zhu;Gang Lei

  • MPTC for PMSMs of EVs With Multi-Motor Driven System Considering Optimal Energy Allocation

    Xiaodong Sun;Changchang Hu;Jianguo Zhu;Shaohua Wang

  • Performance Analysis of Suspension Force and Torque in an IBPMSM With V-Shaped PMs for Flywheel Batteries

    B. Su;X. Sun;G. Lei;Z. Yang

  • Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

    Gang Lei;Jianguo Zhu;Youguang Guo

Frequent Co-Authors

Jianguo Zhu
Jianguo Zhu University of Sydney
Youguang Guo
Youguang Guo University of Technology Sydney
Xiaodong Sun
Xiaodong Sun Jiangsu University
Wei Xu
Wei Xu Huazhong University of Science and Technology
Md. Rabiul Islam
Md. Rabiul Islam University of Wollongong
Yingfeng Cai
Yingfeng Cai Tongji University
Yongchang Zhang
Yongchang Zhang North China Electric Power University
Dylan Dah-Chuan Lu
Dylan Dah-Chuan Lu University of Technology Sydney
Jiefeng Hu
Jiefeng Hu Federation University Australia
Xun Shi
Xun Shi Chinese Academy of Sciences

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