World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
5496
World Ranking
5981
National Ranking
2004

Liyan Qu 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 Liyan Qu 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: 125 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Liyan Qu 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 Liyan Qu 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Liyan Qu is affiliated with the University of Nebraska-Lincoln in the United States and has contributed extensively to the engineering field, particularly focusing on electrical and electronic engineering. Their research spans multiple subfields, including control and systems engineering, automotive engineering, mechanical engineering, and energy engineering and power technology.

The scientist's main areas of study include:

  • Microgrid Control and Optimization
  • Multilevel Inverters and Converters
  • Silicon Carbide Semiconductor Technologies
  • HVDC Systems and Fault Protection
  • Sensorless Control of Electric Motors
  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies

Liyan Qu has published numerous papers in reputable venues, with a concentration in power electronics and related topics. The most frequent publication venues are:

  • IEEE Journal of Emerging and Selected Topics in Power Electronics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Industry Applications
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • iEnergy

Their recent published papers include:

  • "Active-Disturbance-Rejection-Based Sliding-Mode Current Control for Permanent-Magnet Synchronous Motors," 2020, IEEE Transactions on Power Electronics
  • "An Extended-State-Observer-Based Sliding-Mode Speed Control for Permanent-Magnet Synchronous Motors," 2020, IEEE Journal of Emerging and Selected Topics in Power Electronics
  • "Adaptive Model-Predictive-Control-Based Real-Time Energy Management of Fuel Cell Hybrid Electric Vehicles," 2022, IEEE Transactions on Power Electronics
  • "Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Compressive Sensing-Based Missing-Data-Tolerant Fault Detection for Remote Condition Monitoring of Wind Turbines," 2021, IEEE Transactions on Industrial Electronics

Liyan Qu has collaborated regularly with other researchers, with a number of frequent coauthors including:

  • Wei Qiao
  • Chao Jia
  • Junwei Cui
  • Lizhi Qu
  • Yayu Peng

Their work primarily addresses challenges in microgrid and motor control, fault detection in wind turbines, and energy management systems for electric and hybrid vehicles. The interdisciplinary nature of their research combines concepts from electrical and mechanical engineering as well as advanced control strategies.

Best Publications

  • Constant Power Control of DFIG Wind Turbines With Supercapacitor Energy Storage

    Liyan Qu;Wei Qiao

  • An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems

    Chun Wei;Zhe Zhang;Wei Qiao;Liyan Qu

  • Control of IPM Synchronous Generator for Maximum Wind Power Generation Considering Magnetic Saturation

    Wei Qiao;Liyan Qu;R.G. Harley

  • Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

    Cong Ma;Liyan Qu

  • A Space-Vector-Modulated Sensorless Direct-Torque Control for Direct-Drive PMSG Wind Turbines

    Zhe Zhang;Yue Zhao;Wei Qiao;Liyan Qu

  • An Isolated Multiport DC–DC Converter for Simultaneous Power Management of Multiple Different Renewable Energy Sources

    Jianwu Zeng;Wei Qiao;Liyan Qu;Yanping Jiao

  • An Isolated Three-Port Bidirectional DC–DC Converter for Photovoltaic Systems With Energy Storage

    Jianwu Zeng;Wei Qiao;Liyan Qu

  • Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier

    Fangzhou Cheng;Jun Wang;Liyan Qu;Wei Qiao

  • Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

    Chun Wei;Zhe Zhang;Wei Qiao;Liyan Qu

  • Active-Disturbance-Rejection-Based Sliding-Mode Current Control for Permanent-Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • Fault Prognosis and Remaining Useful Life Prediction of Wind Turbine Gearboxes Using Current Signal Analysis

    Fangzhou Cheng;Liyan Qu;Wei Qiao

  • Power Electronics-Enabled Self-X Multicell Batteries: A Design Toward Smart Batteries

    Taesic Kim;Wei Qiao;Liyan Qu

  • Real-Time Aging Monitoring for IGBT Modules Using Case Temperature

    Ze Wang;Bo Tian;Wei Qiao;Liyan Qu

  • An Extended-State-Observer-Based Sliding-Mode Speed Control for Permanent-Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • An Enhanced Linear Active Disturbance Rejection Rotor Position Sensorless Control for Permanent Magnet Synchronous Motors

    Lizhi Qu;Wei Qiao;Liyan Qu

  • Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes

    Fangzhou Cheng;Liyan Qu;Wei Qiao;Liwei Hao

  • A Discrete-Time Direct Torque Control for Direct-Drive PMSG-Based Wind Energy Conversion Systems

    Zhe Zhang;Yue Zhao;Wei Qiao;Liyan Qu

  • Robust AC Optimal Power Flow for Power Networks With Wind Power Generation

    Xiaoqing Bai;Liyan Qu;Wei Qiao

  • Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis

    Fangzhou Cheng;Liyan Qu;Wei Qiao;Chun Wei

  • Series-connected self-reconfigurable multicell battery

    Taesic Kim;Wei Qiao;Liyan Qu

  • Vibration and torque ripple reduction of switched reluctance motors through current profile optimization

    Cong Ma;Liyan Qu;Rakesh Mitra;Prerit Pramod

Frequent Co-Authors

Wei Qiao
Wei Qiao University of Nebraska–Lincoln
R.G. Harley
R.G. Harley Georgia Institute of Technology

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