H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 31 Citations 4,636 272 World Ranking 3209 National Ranking 378

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to flux modulation machines and wind generators

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Electrical engineering
  • Control theory

Magnet, Rotor, Stator, Torque and Control theory are his primary areas of study. His research in Magnet intersects with topics in Electric vehicle, Vernier scale and Finite element method. His Rotor research includes themes of Nonlinear system, High torque, Position and Pole piece.

Ronghai Qu interconnects Turbine, Squirrel-cage rotor and Electromagnetic coil in the investigation of issues within Stator. His Torque research focuses on Torque ripple and how it connects with Torque sensor. His work on Permanent magnet synchronous machine as part of general Control theory research is often related to Flux, thus linking different fields of science.

His most cited work include:

  • Dual-rotor, radial-flux, toroidally-wound, permanent-magnet machines (186 citations)
  • High-Power-Factor Vernier Permanent-Magnet Machines (156 citations)
  • Electrical machine with double-sided stator (135 citations)

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

Ronghai Qu mostly deals with Magnet, Control theory, Stator, Torque and Rotor. His Magnet research is multidisciplinary, incorporating elements of Vernier scale, Finite element method and Electromagnetic coil. His Control theory research integrates issues from Ripple, Induction motor, Inductance, Voltage and Torque ripple.

His Stator research incorporates themes from Power factor, Armature, Magnetic reluctance, Harmonics and Switched reluctance motor. His Torque research focuses on Direct torque control and how it relates to Torque sensor. His work deals with themes such as Acoustics, Core, Squirrel-cage rotor, Automotive engineering and Structural engineering, which intersect with Rotor.

He most often published in these fields:

  • Magnet (48.43%)
  • Control theory (42.13%)
  • Stator (40.94%)

What were the highlights of his more recent work (between 2020-2021)?

  • Magnet (48.43%)
  • Control theory (42.13%)
  • Stator (40.94%)

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

His primary areas of study are Magnet, Control theory, Stator, Torque and Vernier scale. His Magnet research is multidisciplinary, incorporating perspectives in Structural engineering, Finite element method and Electromagnetic coil. The concepts of his Control theory study are interwoven with issues in Symmetrical components, Magnetic reluctance, Ripple, Current and Inverter.

He combines subjects such as Control theory, Port and Rotor with his study of Stator. His Torque research includes elements of Torque ripple, Transient and Harmonic. His Torque density research includes themes of Power factor, Automotive engineering and Harmonics.

Between 2020 and 2021, his most popular works were:

  • Transient Analysis and Verification of a Magnetic Gear Integrated Permanent Magnet Brushless Machine with Halbach Arrays (3 citations)
  • Line-Start Vernier Permanent Magnet Machines (3 citations)
  • Improved Operation and Control of Single-Phase Integrated On-Board Charger System (1 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Electrical engineering
  • Control theory

His primary areas of investigation include Control theory, Magnet, Torque, Superconductivity and Harmonic. He focuses mostly in the field of Control theory, narrowing it down to topics relating to Vernier scale and, in certain cases, Ripple, Thrust and Reduction. Ronghai Qu usually deals with Magnet and limits it to topics linked to Electromagnetic coil and Rotor.

Ronghai Qu interconnects Halbach array, Torque ripple, Voltage, Magnetic flux and Coupling in the investigation of issues within Torque. His research in Superconductivity tackles topics such as Generator which are related to areas like Finite element method and Stator. A large part of his Stator studies is devoted to Torque density.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Dual-rotor, radial-flux, toroidally-wound, permanent-magnet machines

Ronghai Qu;T.A. Lipo.
ieee industry applications society annual meeting (2002)

278 Citations

High-Power-Factor Vernier Permanent-Magnet Machines

Dawei Li;Ronghai Qu;Thomas A. Lipo.
IEEE Transactions on Industry Applications (2014)

250 Citations

Electrical machine with double-sided stator

Patrick Lee Jansen;James Patrick Lyons;Ralph James Carl;Ronghai Qu.
(2004)

210 Citations

Electrical machine with double-sided rotor

Patrick Lee Jansen;James Michael Fogarty;Ralph James Carl;James Patrick Francis Lyons.
(2005)

156 Citations

Analysis of Torque Capability and Quality in Vernier Permanent-Magnet Machines

Dawei Li;Ronghai Qu;Jian Li;Linyuan Xiao.
IEEE Transactions on Industry Applications (2016)

142 Citations

Review of Superconducting Generator Topologies for Direct-Drive Wind Turbines

Ronghai Qu;Yingzhen Liu;Jin Wang.
IEEE Transactions on Applied Superconductivity (2013)

141 Citations

Analysis and modeling of air-gap and zigzag leakage fluxes in a surface-mounted permanent-magnet Machine

Ronghai Qu;T.A. Lipo.
IEEE Transactions on Industry Applications (2004)

139 Citations

Sensorless Control of Permanent Magnet Synchronous Machine Based on Second-Order Sliding-Mode Observer With Online Resistance Estimation

Donglai Liang;Jian Li;Ronghai Qu.
IEEE Transactions on Industry Applications (2017)

130 Citations

Relationship between magnetic gears and vernier machines

Ronghai Qu;Dawei Li;Jin Wang.
international conference on electrical machines and systems (2011)

125 Citations

Adaptive Second-Order Sliding-Mode Observer for PMSM Sensorless Control Considering VSI Nonlinearity

Donglai Liang;Jian Li;Ronghai Qu;Wubin Kong.
IEEE Transactions on Power Electronics (2018)

124 Citations

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Best Scientists Citing Ronghai Qu

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Chunhua Liu

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