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Electronics and Electrical Engineering
China
2026
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Electronics and Electrical Engineering
UK
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
120
Citations
55150
World Ranking
63
National Ranking
6

Zi-Qiang Zhu publications per year

1991: 2 publications 1992: 6 publications 1993: 8 publications 1994: 4 publications 1995: 3 publications 1996: 1 publications 1997: 10 publications 1998: 2 publications 1999: 8 publications 2000: 13 publications 2001: 7 publications 2002: 14 publications 2003: 5 publications 2004: 13 publications 2005: 20 publications 2006: 24 publications 2007: 20 publications 2008: 31 publications 2009: 27 publications 2010: 39 publications 2011: 48 publications 2012: 41 publications 2013: 48 publications 2014: 68 publications 2015: 79 publications 2016: 124 publications 2017: 90 publications 2018: 78 publications 2019: 85 publications 2020: 63 publications 2021: 87 publications
1991 2021

1,068 publications in total across all disciplines

Zi-Qiang Zhu publication distribution in Electronics and Electrical Engineering in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2027. The highlighted bar marks where Zi-Qiang Zhu 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: 1,057 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Zi-Qiang Zhu D-index placement in Electronics and Electrical Engineering in 2027

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2027. The highlighted bar marks where Zi-Qiang Zhu 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: 120 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Electronics and Electrical Engineering in China Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2021 - IEEE Nikola Tesla Award “For contributions to the design, modeling, control, and application of ac permanent magnet machines and drives.”
  • 2016 - Fellow of the Royal Academy of Engineering (UK)
  • 2009 - IEEE Fellow For contributions to analytical modeling of permanent magnet brishless machines

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Magnet

Magnet, Control theory, Stator, Torque and Finite element method are his primary areas of study. His Magnet research is multidisciplinary, incorporating elements of Magnetic flux, Mechanics, Nuclear magnetic resonance and Electromagnetic coil. His studies in Control theory integrate themes in fields like Torque ripple, Direct torque control and Inverter, Voltage.

His work carried out in the field of Stator brings together such families of science as Armature, Electric motor, DC motor, Rotor and Topology. His Torque research incorporates themes from Forging, Waveform and Inductance. The various areas that he examines in his Finite element method study include Harmonic analysis, Mathematical analysis, Air gap, Leakage and Pole number.

His most cited work include:

  • Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles (898 citations)
  • Influence of design parameters on cogging torque in permanent magnet machines (758 citations)
  • Analysis of electromagnetic performance of flux-switching permanent-magnet Machines by nonlinear adaptive lumped parameter magnetic circuit model (490 citations)

What are the main themes of his work throughout his whole career to date?

Zi-Qiang Zhu spends much of his time researching Magnet, Control theory, Torque, Stator and Rotor. He has researched Magnet in several fields, including Magnetic flux, Finite element method and Electromagnetic coil. His Control theory research incorporates elements of Direct torque control, Harmonics, Voltage and Harmonic.

The concepts of his Torque study are interwoven with issues in Torque ripple and Inductance. As a member of one scientific family, Zi-Qiang Zhu mostly works in the field of Stator, focusing on Mechanics and, on occasion, Nuclear magnetic resonance. He combines subjects such as AC motor, Position, Synchronous motor and Topology with his study of Rotor.

He most often published in these fields:

  • Magnet (61.91%)
  • Control theory (52.94%)
  • Torque (44.74%)

What were the highlights of his more recent work (between 2018-2021)?

  • Magnet (61.91%)
  • Torque (44.74%)
  • Control theory (52.94%)

In recent papers he was focusing on the following fields of study:

His main research concerns Magnet, Torque, Control theory, Stator and Electromagnetic coil. His Magnet research includes themes of Magnetic flux, Topology, Finite element method and Topology. His Torque research integrates issues from Torque ripple, Magnetic reluctance and Power.

His studies deal with areas such as Harmonics, Inductance, Voltage and Harmonic as well as Control theory. His research integrates issues of Acoustics, Magnetic core and Rotor in his study of Stator. His work carried out in the field of Electromagnetic coil brings together such families of science as Power factor, Wind power and Excitation.

Between 2018 and 2021, his most popular works were:

  • On-Load Field Prediction of Surface-Mounted PM Machines Considering Nonlinearity Based on Hybrid Field Model (24 citations)
  • Reduction of Open-Circuit DC-Winding-Induced Voltage in Wound Field Switched Flux Machines by Skewing (16 citations)
  • Comparative Study on Variable Flux Memory Machines With Parallel or Series Hybrid Magnets (12 citations)

Best Publications

  • Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles

    Z.Q. Zhu;D. Howe

  • Influence of design parameters on cogging torque in permanent magnet machines

    Z.Q. Zhu;D. Howe

  • Instantaneous magnetic field distribution in brushless permanent magnet DC motors. III. Effect of stator slotting

    Z.Q. Zhu;D. Howe

  • Instantaneous magnetic field distribution in brushless permanent magnet DC motors. I. Open-circuit field

    Z.Q. Zhu;D. Howe;E. Bolte;B. Ackermann

  • Analysis of electromagnetic performance of flux-switching permanent-magnet Machines by nonlinear adaptive lumped parameter magnetic circuit model

    Z.Q. Zhu;Y. Pang;D. Howe;S. Iwasaki

  • Improved analytical model for predicting the magnetic field distribution in brushless permanent-magnet machines

    Z.Q. Zhu;D. Howe;C.C. Chan

  • Halbach permanent magnet machines and applications: a review

    Z.Q. Zhu;D. Howe

  • Instantaneous magnetic field distribution in brushless permanent magnet DC motors. II. Armature-reaction field

    Z.Q. Zhu;D. Howe

  • An Accurate Subdomain Model for Magnetic Field Computation in Slotted Surface-Mounted Permanent-Magnet Machines

    Z.Q. Zhu;L.J. Wu;Z.P. Xia

  • Advanced Flux-Switching Permanent Magnet Brushless Machines

    Z Q Zhu;J T Chen

  • Analytical Methods for Minimizing Cogging Torque in Permanent-Magnet Machines

    Li Zhu;S.Z. Jiang;Z.Q. Zhu;C.C. Chan

  • Winding Configurations and Optimal Stator and Rotor Pole Combination of Flux-Switching PM Brushless AC Machines

    J T Chen;Z Q Zhu

  • Eddy-current loss in the rotor magnets of permanent-magnet brushless machines having a fractional number of slots per pole

    D. Ishak;Z.Q. Zhu;D. Howe

  • Analysis and Optimization of Back EMF Waveform of a Flux-Switching Permanent Magnet Motor

    Wei Hua;Ming Cheng;Z.Q. Zhu;D. Howe

  • Direct Active and Reactive Power Regulation of DFIG Using Sliding-Mode Control Approach

    Jiabing Hu;Heng Nian;Bin Hu;Yikang He

  • Direct torque control of brushless DC drives with reduced torque ripple

    Yong Liu;Z.Q. Zhu;D. Howe

  • Analytical prediction of the cogging torque in radial-field permanent magnet brushless motors

    Z.Q. Zhu;D. Howe

  • Improved analytical modelling of rotor eddy current loss in brushless machines equipped with surface-mounted permanent magnets

    Z.Q. Zhu;K. Ng;N. Schofield;D. Howe

  • Analytical Modeling and Finite-Element Computation of Radial Vibration Force in Fractional-Slot Permanent-Magnet Brushless Machines

    Z Q Zhu;Z P Xia;L J Wu;G W Jewell

  • Online Multiparameter Estimation of Nonsalient-Pole PM Synchronous Machines With Temperature Variation Tracking

    Kan Liu;Qiao Zhang;Jintao Chen;Z Q Zhu

  • Instantaneous magnetic field distribution in permanent magnet brushless DC motors. IV. Magnetic field on load

    Z.Q. Zhu;D. Howe

  • Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles Induction and switched-reluctance machines can provide the needed characteristics, but permanent magnet brushless machines offer a higher efficiency and torque density.

    Z. Q. Zhu;David Howe

Frequent Co-Authors

David Howe
David Howe University of Sheffield
Heyun Lin
Heyun Lin Southeast University
Zhongze Wu
Zhongze Wu University of Bath
Lijian Wu
Lijian Wu Zhejiang University
G.W. Jewell
G.W. Jewell University of Sheffield
Martin P. Foster
Martin P. Foster University of Sheffield
Wei Hua
Wei Hua Southeast University
Heng Nian
Heng Nian Zhejiang University
Mircea Popescu
Mircea Popescu Ansys (United Kingdom)
Kais Atallah
Kais Atallah University of Sheffield

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