H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 39 Citations 6,249 224 World Ranking 2704 National Ranking 272

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Control theory

Li-Min Zhu spends much of his time researching Control theory, Nonlinear system, Control theory, Control engineering and Actuator. His Control theory research integrates issues from Particle swarm optimization and Inverse. His Robust control study in the realm of Nonlinear system connects with subjects such as Dissipative system.

His work focuses on many connections between Control theory and other disciplines, such as Finite element method, that overlap with his field of interest in Parallelogram, Kinematic chain and Beam. The concepts of his Control engineering study are interwoven with issues in Linear system, Exponential stability and Compensation strategy. His Actuator study combines topics from a wide range of disciplines, such as Creep, Mechanics, Viscoelasticity and Constitutive equation.

His most cited work include:

  • A full-discretization method for prediction of milling stability (309 citations)
  • Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey (277 citations)
  • Modeling and Compensation of Asymmetric Hysteresis Nonlinearity for Piezoceramic Actuators With a Modified Prandtl–Ishlinskii Model (220 citations)

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

Li-Min Zhu mainly focuses on Control theory, Machining, Algorithm, Nonlinear system and Control engineering. His Control theory research focuses on Control theory, Feed forward, Actuator, Compensation and PID controller. His Control theory research is multidisciplinary, relying on both Trajectory and Motion control.

His Machining research includes themes of Geometry, Surface and Machine tool. His research in Algorithm intersects with topics in Curvature, Mathematical optimization and Interpolation. In general Nonlinear system, his work in Adaptive control is often linked to Prandtl number linking many areas of study.

He most often published in these fields:

  • Control theory (32.71%)
  • Machining (20.07%)
  • Algorithm (16.36%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (32.71%)
  • Algorithm (16.36%)
  • Trajectory (7.06%)

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

Control theory, Algorithm, Trajectory, Artificial intelligence and Tracking are his primary areas of study. His studies deal with areas such as Robot, Finite element method and Machining as well as Control theory. His Algorithm research is multidisciplinary, incorporating perspectives in Interpolation, Numerical control, Curvature, Raster scan and Zigzag.

His study in Trajectory is interdisciplinary in nature, drawing from both Smoothing, Servo, Tracking error and Robustness. His Artificial intelligence study integrates concerns from other disciplines, such as Gamma distribution, Computer vision and Pattern recognition. Li-Min Zhu interconnects Piezoelectric actuators, Open-loop controller, Transient response and High bandwidth in the investigation of issues within Tracking.

Between 2019 and 2021, his most popular works were:

  • GRU-Type LARC Strategy for Precision Motion Control With Accurate Tracking Error Prediction (9 citations)
  • Deep GRU Neural Network Prediction and Feedforward Compensation for Precision Multiaxis Motion Control Systems (8 citations)
  • An error-bounded B-spline curve approximation scheme using dominant points for CNC interpolation of micro-line toolpath (7 citations)

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

  • Artificial intelligence
  • Mechanical engineering
  • Geometry

Li-Min Zhu mainly investigates Control theory, Compensation, Algorithm, Feed forward and Motion control. Control theory is closely attributed to Machining in his research. As a part of the same scientific family, Li-Min Zhu mostly works in the field of Machining, focusing on Randomness and, on occasion, Vibration.

His Compensation research incorporates themes from Fixture and Robot. The study incorporates disciplines such as Surface, Curvature, Bounded function and Interpolation in addition to Algorithm. His Feed forward research incorporates elements of Artificial neural network and Maglev.

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

A full-discretization method for prediction of milling stability

Ye Ding;LiMin Zhu;XiaoJian Zhang;Han Ding.
International Journal of Machine Tools & Manufacture (2010)

403 Citations

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Guo-Ying Gu;Li-Min Zhu;Chun-Yi Su;Han Ding.
IEEE Transactions on Automation Science and Engineering (2016)

346 Citations

Modeling and Compensation of Asymmetric Hysteresis Nonlinearity for Piezoceramic Actuators With a Modified Prandtl–Ishlinskii Model

Guo-Ying Gu;Li-Min Zhu;Chun-Yi Su.
IEEE Transactions on Industrial Electronics (2014)

254 Citations

A survey on dielectric elastomer actuators for soft robots.

Guo-Ying Gu;Jian Zhu;Li-Min Zhu;Xiangyang Zhu.
Bioinspiration & Biomimetics (2017)

207 Citations

Motion Control of Piezoelectric Positioning Stages: Modeling, Controller Design, and Experimental Evaluation

Guo-Ying Gu;Li-Min Zhu;Chun-Yi Su;Han Ding.
IEEE-ASME Transactions on Mechatronics (2013)

195 Citations

A real-time look-ahead interpolation methodology with curvature-continuous B-spline transition scheme for CNC machining of short line segments

Huan Zhao;LiMin Zhu;Han Ding.
International Journal of Machine Tools & Manufacture (2013)

175 Citations

Numerical Integration Method for Prediction of Milling Stability

Ye Ding;LiMin Zhu;XiaoJian Zhang;Han Ding.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2011)

155 Citations

Real-time inverse hysteresis compensation of piezoelectric actuators with a modified Prandtl-Ishlinskii model

Guo-Ying Gu;Mei-Ju Yang;Li-Min Zhu.
Review of Scientific Instruments (2012)

142 Citations

Second-order full-discretization method for milling stability prediction

Ye Ding;LiMin Zhu;XiaoJian Zhang;Han Ding.
International Journal of Machine Tools & Manufacture (2010)

121 Citations

Clinical Characteristics of Somatic Mutations in Chinese Patients With Aldosterone-Producing Adenoma

Fang-Fang Zheng;Li-Min Zhu;Ai-Fang Nie;Xiao-Ying Li.
Hypertension (2015)

112 Citations

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Best Scientists Citing Li-Min Zhu

Dawei Zhang

Dawei Zhang

Tianjin University

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Yanling Tian

Yanling Tian

Tianjin University

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Monash University

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Qingsong Xu

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University of Macau

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Yangmin Li

Yangmin Li

Hong Kong Polytechnic University

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Gábor Stépán

Gábor Stépán

Budapest University of Technology and Economics

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Xiangyang Zhu

Xiangyang Zhu

Shanghai Jiao Tong University

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L.N. López de Lacalle

L.N. López de Lacalle

University of the Basque Country

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Tamás Insperger

Tamás Insperger

Budapest University of Technology and Economics

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Yun Zhang

Yun Zhang

Guangdong University of Technology

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Chun-Yi Su

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Concordia University

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C. L. Philip Chen

C. L. Philip Chen

University of Macau

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Zhi Liu

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Han Ding

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Xuefeng Chen

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Yusuf Altintas

Yusuf Altintas

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