H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 3,705 264 World Ranking 6963 National Ranking 845

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Control theory
  • Artificial intelligence

Guohai Liu mainly investigates Control theory, Magnet, Torque, Electromagnetic coil and Fault tolerance. Guohai Liu works in the field of Control theory, namely Synchronous motor. His Magnet study combines topics from a wide range of disciplines, such as Electronic engineering and Rotor.

His Electromagnetic coil research is multidisciplinary, relying on both Finite element method and Stator. His study looks at the relationship between Stator and fields such as Coupling, as well as how they intersect with chemical problems. The various areas that Guohai Liu examines in his Thrust study include Force density and Linear motor.

His most cited work include:

  • Parameters identification of solar cell models using generalized oppositional teaching learning based optimization (144 citations)
  • Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis (113 citations)
  • Design and Analysis of a Linear Permanent- Magnet Vernier Machine With Improved Force Density (105 citations)

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

Guohai Liu focuses on Control theory, Magnet, Torque, Fault tolerance and Stator. His work deals with themes such as Artificial neural network, Control engineering, Torque ripple, Harmonics and Fault, which intersect with Control theory. In general Magnet, his work in Armature is often linked to Vernier scale linking many areas of study.

His research on Torque also deals with topics like

  • Direct torque control, which have a strong connection to Electric motor,
  • Automotive engineering together with Electric vehicle. His research investigates the connection between Stator and topics such as Synchronous motor that intersect with problems in AC motor. His research in Finite element method tackles topics such as Thrust which are related to areas like Linear motor.

He most often published in these fields:

  • Control theory (60.66%)
  • Magnet (42.62%)
  • Torque (32.38%)

What were the highlights of his more recent work (between 2017-2021)?

  • Control theory (60.66%)
  • Torque (32.38%)
  • Magnet (42.62%)

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

Guohai Liu spends much of his time researching Control theory, Torque, Magnet, Harmonics and Stator. His work in the fields of Harmonic analysis overlaps with other areas such as Fault tolerance. His work carried out in the field of Torque brings together such families of science as Magnetic reluctance, Counter-electromotive force and Harmonic.

His Magnet research is multidisciplinary, incorporating elements of Magnetic flux, Reluctance torque, Finite element method and Electromagnetic coil. In his research, Synchronous motor, Noise and Boundary element method is intimately related to Vibration, which falls under the overarching field of Harmonics. Guohai Liu interconnects Armature and Modulation in the investigation of issues within Stator.

Between 2017 and 2021, his most popular works were:

  • Adaptive Sliding Mode Fault-Tolerant Coordination Control for Four-Wheel Independently Driven Electric Vehicles (42 citations)
  • Torque Ripple Reduction in Five-Phase IPM Motors by Lowering Interactional MMF (31 citations)
  • Third Harmonic Current Injection in Fault-Tolerant Five-Phase Permanent-Magnet Motor Drive (26 citations)

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

  • Control theory
  • Electrical engineering
  • Artificial intelligence

His primary scientific interests are in Control theory, Torque, Magnet, Stator and Magnetic flux. His Control theory study combines topics in areas such as Fault and Harmonic. He combines subjects such as Torque ripple, Ripple and Cogging torque with his study of Harmonic.

The concepts of his Torque study are interwoven with issues in Harmonics, Counter-electromotive force and Rotor. His Counter-electromotive force research integrates issues from Vector control and Flux linkage. In the field of Magnet, his study on Magnetic circuit overlaps with subjects such as Vernier scale.

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

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

Kangji Li;Chenglei Hu;Guohai Liu;Wenping Xue.
Energy and Buildings (2015)

167 Citations

Parameters identification of solar cell models using generalized oppositional teaching learning based optimization

Xu Chen;Kunjie Yu;Wenli Du;Wenxiang Zhao.
Energy (2016)

163 Citations

Design and Analysis of a Linear Permanent- Magnet Vernier Machine With Improved Force Density

Wenxiang Zhao;Junqiang Zheng;Jiabin Wang;Guohai Liu.
IEEE Transactions on Industrial Electronics (2016)

121 Citations

Design and Analysis of a New Fault-Tolerant Permanent-Magnet Vernier Machine for Electric Vehicles

Guohai Liu;Junqin Yang;Wenxiang Zhao;Jinghua Ji.
IEEE Transactions on Magnetics (2012)

118 Citations

Biogeography-based learning particle swarm optimization

Xu Chen;Huaglory Tianfield;Congli Mei;Wenli Du.
soft computing (2017)

117 Citations

Internal Model Control of Permanent Magnet Synchronous Motor Using Support Vector Machine Generalized Inverse

Guohai Liu;Lingling Chen;Wenxiang Zhao;Yan Jiang.
IEEE Transactions on Industrial Informatics (2013)

88 Citations

Model optimization of SVM for a fermentation soft sensor

Guohai Liu;Dawei Zhou;Haixia Xu;Congli Mei.
Expert Systems With Applications (2010)

86 Citations

Remedial Field-Oriented Control of Five-Phase Fault-Tolerant Permanent-Magnet Motor by Using Reduced-Order Transformation Matrices

Huawei Zhou;Wenxiang Zhao;Guohai Liu;Ran Cheng.
IEEE Transactions on Industrial Electronics (2017)

74 Citations

Design and Comparison of Two Fault-Tolerant Interior-Permanent-Magnet Motors

Qian Chen;Guohai Liu;Wenxiang Zhao;Longgang Sun.
IEEE Transactions on Industrial Electronics (2014)

72 Citations

A New Fault-Tolerant Permanent-Magnet Machine for Electric Vehicle Applications

Qian Chen;Guohai Liu;Wensheng Gong;Wenxiang Zhao.
IEEE Transactions on Magnetics (2011)

72 Citations

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Best Scientists Citing Guohai Liu

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Wei Hua

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University of Nottingham

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University of Hong Kong

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Chunhua Liu

Chunhua Liu

City University of Hong Kong

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Jianguo Zhu

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University of Sydney

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