D-Index & Metrics Best Publications

D-Index & Metrics

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
Electronics and Electrical Engineering D-index 59 Citations 12,374 271 World Ranking 639 National Ranking 317
Mechanical and Aerospace Engineering D-index 59 Citations 12,409 275 World Ranking 188 National Ranking 101

Research.com Recognitions

Awards & Achievements

2013 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mechanical engineering
  • Artificial intelligence

His primary areas of study are Robust control, Control theory, Adaptive control, Control engineering and Motion control. His Robust control research is within the category of Control theory. Bin Yao is involved in the study of Control theory that focuses on Nonlinear system in particular.

The various areas that he examines in his Adaptive control study include Sliding mode control and Exponential stability. His study in Control engineering is interdisciplinary in nature, drawing from both Control system, Parallel manipulator, Compensation and Lyapunov function. In his study, System identification is strongly linked to Tracking error, which falls under the umbrella field of Motion control.

His most cited work include:

  • Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form (528 citations)
  • Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments (468 citations)
  • Polypyrrole-coated paper for flexible solid-state energy storage (430 citations)

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

Bin Yao spends much of his time researching Control theory, Robust control, Control engineering, Adaptive control and Control theory. Many of his studies on Control theory involve topics that are commonly interrelated, such as Motion control. His Robust control study incorporates themes from Estimation theory, Tracking error, Compensation and Backstepping.

His work on Variable structure control as part of general Control engineering study is frequently linked to Transient, therefore connecting diverse disciplines of science. His biological study spans a wide range of topics, including Sliding mode control, Exponential stability, Nonlinear control and Observer. His Control theory research integrates issues from Tracking, Simulation and Trajectory.

He most often published in these fields:

  • Control theory (84.79%)
  • Robust control (60.57%)
  • Control engineering (48.97%)

What were the highlights of his more recent work (between 2015-2021)?

  • Control theory (84.79%)
  • Robust control (60.57%)
  • Motion control (29.64%)

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

Control theory, Robust control, Motion control, Control theory and Nonlinear system are his primary areas of study. His work carried out in the field of Control theory brings together such families of science as Control engineering and Hydraulic machinery. He has researched Robust control in several fields, including Motion controller, Artificial neural network and Adaptive control.

His Motion control study combines topics from a wide range of disciplines, such as Compensation, Hydraulic cylinder and Match moving. His Control theory research is multidisciplinary, incorporating perspectives in Control system, Estimation theory, Tracking, Feed forward and Robot. His studies in Nonlinear system integrate themes in fields like Frequency response, Flow and Robustness.

Between 2015 and 2021, his most popular works were:

  • Paper-Based Electrodes for Flexible Energy Storage Devices. (174 citations)
  • Flexible Transparent Molybdenum Trioxide Nanopaper for Energy Storage (137 citations)
  • Flexible Transparent Molybdenum Trioxide Nanopaper for Energy Storage (137 citations)

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

  • Control theory
  • Mechanical engineering
  • Artificial intelligence

His primary areas of study are Supercapacitor, Nanotechnology, Control theory, Capacitance and Energy storage. The Supercapacitor study combines topics in areas such as Oxide and Chemical engineering. His Control theory study is mostly concerned with Trajectory, Nonlinear system, Control theory, Torque and Robust control.

The study incorporates disciplines such as Control engineering, Cascade and Hydraulic machinery in addition to Nonlinear system. His Robust control study deals with the bigger picture of Robustness. His Capacitance research includes elements of Optoelectronics and Graphene.

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

Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments

Bin Yao;Fanping Bu;J. Reedy;G.T.-C. Chiu.
IEEE-ASME Transactions on Mechatronics (2000)

734 Citations

Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form

Bin Yao;Masayoshi Tomizuka.
Automatica (1997)

679 Citations

Polypyrrole-coated paper for flexible solid-state energy storage

Longyan Yuan;Bin Yao;Bin Yao;Bin Hu;Kaifu Huo.
Energy and Environmental Science (2013)

467 Citations

Adaptive robust precision motion control of linear motors with negligible electrical dynamics: theory and experiments

Li Xu;Bin Yao.
IEEE-ASME Transactions on Mechatronics (2001)

353 Citations

Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms

Bin Yao;Masayoshi Tomizuka.
Automatica (2001)

346 Citations

Smooth Robust Adaptive Sliding Mode Control of Manipulators With Guaranteed Transient Performance

Bin Yao;Masayoshi Tomizuka.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1996)

337 Citations

High-performance robust motion control of machine tools: an adaptive robust control approach and comparative experiments

Bin Yao;M. Al-Majed;M. Tomizuka.
IEEE-ASME Transactions on Mechatronics (1997)

328 Citations

High performance adaptive robust control of nonlinear systems: a general framework and new schemes

Bin Yao.
conference on decision and control (1997)

307 Citations

Flexible and cross-linked N-doped carbon nanofiber network for high performance freestanding supercapacitor electrode

Yongliang Cheng;Liang Huang;Xu Xiao;Bin Yao.
Nano Energy (2015)

253 Citations

$\mu$ -Synthesis-Based Adaptive Robust Control of Linear Motor Driven Stages With High-Frequency Dynamics: A Case Study

Zheng Chen;Bin Yao;Qingfeng Wang.
IEEE-ASME Transactions on Mechatronics (2015)

236 Citations

Best Scientists Citing Bin Yao

Shuzhi Sam Ge

Shuzhi Sam Ge

National University of Singapore

Publications: 65

Kyoung Kwan Ahn

Kyoung Kwan Ahn

University of Ulsan

Publications: 27

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 25

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 23

Weichao Sun

Weichao Sun

Harbin Institute of Technology

Publications: 23

Chun-Yi Su

Chun-Yi Su

Concordia University

Publications: 22

Nariman Sepehri

Nariman Sepehri

University of Manitoba

Publications: 22

Tong Heng Lee

Tong Heng Lee

National University of Singapore

Publications: 21

Wan Kyun Chung

Wan Kyun Chung

Pohang University of Science and Technology

Publications: 20

Han Ding

Han Ding

Shanghai Jiao Tong University

Publications: 20

Kok Kiong Tan

Kok Kiong Tan

National University of Singapore

Publications: 20

Wei He

Wei He

University of Science and Technology Beijing

Publications: 20

Hiroshi Fujimoto

Hiroshi Fujimoto

University of Tokyo

Publications: 19

Jing Na

Jing Na

Kunming University of Science and Technology

Publications: 18

Suguru Arimoto

Suguru Arimoto

Ritsumeikan University

Publications: 16

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 16

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.