D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 34 Citations 4,354 342 World Ranking 5890 National Ranking 905

Overview

What is he best known for?

The fields of study Guohai Liu is best known for:

  • Electric motor
  • Induction motor
  • Synchronous motor

Guohai Liu works mostly in the field of Astronomy, limiting it down to topics relating to Vernier scale and, in certain cases, Optics, as a part of the same area of interest. Optics is frequently linked to Vernier scale in his study. In his works, he undertakes multidisciplinary study on Artificial intelligence and Machine learning. Guohai Liu merges many fields, such as Machine learning and Artificial intelligence, in his writings. His Electrical engineering study often links to related topics such as Current (fluid). His research brings together the fields of Control (management) and Control theory (sociology). His study brings together the fields of Control theory (sociology) and Control (management). Magnet and Permanent magnet motor are frequently intertwined in his study. He integrates several fields in his works, including Thermodynamics and Component (thermodynamics).

His most cited work include:

  • Parameters identification of solar cell models using generalized oppositional teaching learning based optimization (264 citations)
  • Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis (164 citations)
  • Biogeography-based learning particle swarm optimization (152 citations)

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

Magnet is intertwined with Stator and Electromagnetic coil in his study. Guohai Liu performs multidisciplinary study in Electromagnetic coil and Magnet in his work. He integrates several fields in his works, including Electrical engineering and Acoustics. Guohai Liu undertakes interdisciplinary study in the fields of Acoustics and Electrical engineering through his works. As part of his studies on Artificial intelligence, Guohai Liu often connects relevant subjects like Control theory (sociology). His work in Control theory (sociology) is not limited to one particular discipline; it also encompasses Control (management). His research on Control (management) frequently connects to adjacent areas such as Artificial intelligence. His study on Voltage is mostly dedicated to connecting different topics, such as Induction motor. In his work, he performs multidisciplinary research in Induction motor and Torque ripple.

Guohai Liu most often published in these fields:

  • Electrical engineering (65.87%)
  • Artificial intelligence (65.87%)
  • Control (management) (54.76%)

What were the highlights of his more recent work (between 2020-2022)?

  • Voltage (93.75%)
  • Electrical engineering (93.75%)
  • Control theory (sociology) (75.00%)

In recent works Guohai Liu was focusing on the following fields of study:

His research investigates the link between Reliability engineering and topics such as Fault tolerance that cross with problems in Distributed computing. He merges many fields, such as Distributed computing and Fault tolerance, in his writings. Short circuit, Inductance and Electromagnetic coil are fields of study that intersect with his Voltage study. Guohai Liu applies his multidisciplinary studies on Electromagnetic coil and Magnet in his research. Magnet and Quantum mechanics are commonly linked in his work. In most of his Quantum mechanics studies, his work intersects topics such as Voltage. He performs multidisciplinary studies into Electrical engineering and Control engineering in his work. Control engineering and Electrical engineering are two areas of study in which Guohai Liu engages in interdisciplinary work. His work in Control theory (sociology) is not limited to one particular discipline; it also encompasses Control (management).

Between 2020 and 2022, his most popular works were:

  • Effect of Phase Shift Angle on Radial Force and Vibration Behavior in Dual Three-Phase PMSM (28 citations)
  • Investigation of Bread-Loaf Magnet on Vibration Performance in FSCW PMSM Considering Force Modulation Effect (14 citations)
  • Analysis and Reduction of Electromagnetic Vibration in Fractional-Slot Concentrated-Windings PM Machines (12 citations)

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

  • Reduction (mathematics)
  • Finite element method
  • Magnet

His Optics study frequently draws connections between adjacent fields such as Vernier scale and Phase angle (astronomy). Guohai Liu regularly ties together related areas like Optics in his Vernier scale studies. His research on Electrical engineering often connects related areas such as Harmonics. His Harmonics study frequently draws connections to adjacent fields such as Voltage. Guohai Liu combines Voltage and Three-phase in his research. As part of his studies on Three-phase, he often connects relevant areas like Electrical engineering. Mechanical engineering and Thrust are frequently intertwined in his study. Thrust and Mechanical engineering are commonly linked in his work. He merges many fields, such as Vibration and Torsional vibration, in his writings.

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

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

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

262 Citations

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)

188 Citations

Biogeography-based learning particle swarm optimization

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

157 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)

144 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)

131 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)

98 Citations

Adaptive Sliding Mode Fault-Tolerant Coordination Control for Four-Wheel Independently Driven Electric Vehicles

Duo Zhang;Guohai Liu;Huawei Zhou;Wenxiang Zhao.
IEEE Transactions on Industrial Electronics (2018)

94 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)

93 Citations

Model optimization of SVM for a fermentation soft sensor

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

89 Citations

Hybrid Stator Design of Fault-Tolerant Permanent-Magnet Vernier Machines for Direct-Drive Applications

Liang Xu;Guohai Liu;Wenxiang Zhao;Xinyu Yang.
IEEE Transactions on Industrial Electronics (2017)

81 Citations

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