H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 4,921 168 World Ranking 7602 National Ranking 721
Electronics and Electrical Engineering H-index 32 Citations 4,843 152 World Ranking 2993 National Ranking 348

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to adaptive dynamic programming and reinforcement learning

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His primary areas of study are Artificial neural network, Control theory, Control theory, Mathematical optimization and Optimal control. The subject of his Artificial neural network research is within the realm of Artificial intelligence. Dongbin Zhao works mostly in the field of Control theory, limiting it down to topics relating to Control engineering and, in certain cases, Metering mode and Queueing theory.

Dongbin Zhao has researched Control theory in several fields, including Gas tungsten arc welding, Cruise control, Motion control, Bounded function and Fuzzy logic. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Intelligent control and Algorithm design. The concepts of his Optimal control study are interwoven with issues in Bellman equation and Nonlinear system.

His most cited work include:

  • Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming (244 citations)
  • Adaptive sliding mode fuzzy control for a two-dimensional overhead crane (201 citations)
  • Design of a stable sliding-mode controller for a class of second-order underactuated systems (198 citations)

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

His main research concerns Artificial intelligence, Control theory, Artificial neural network, Reinforcement learning and Control theory. His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition. While the research belongs to areas of Control theory, he spends his time largely on the problem of Control engineering, intersecting his research to questions surrounding Mobile manipulator.

The Artificial neural network study combines topics in areas such as Dynamic programming, Mathematical optimization, Optimal control and State. His research integrates issues of Task analysis, Function and Convolutional neural network in his study of Reinforcement learning. His work deals with themes such as Stability, Fuzzy logic and Mobile robot, which intersect with Control theory.

He most often published in these fields:

  • Artificial intelligence (35.74%)
  • Control theory (34.43%)
  • Artificial neural network (26.89%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (35.74%)
  • Reinforcement learning (23.93%)
  • Artificial neural network (26.89%)

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

Dongbin Zhao mainly focuses on Artificial intelligence, Reinforcement learning, Artificial neural network, Deep learning and Segmentation. Dongbin Zhao combines subjects such as Machine learning, Computer vision and Pattern recognition with his study of Artificial intelligence. His Reinforcement learning study integrates concerns from other disciplines, such as Supervised learning, Task, Function and Algorithm.

His Artificial neural network study also includes fields such as

  • Nash equilibrium which is related to area like Minimax, Nonlinear system, Optimal control, Iterative learning control and Rate of convergence,
  • Markov chain most often made with reference to Mathematical optimization. Dongbin Zhao interconnects Dynamic programming and Differential dynamic programming in the investigation of issues within Nonlinear system. His work in Dynamic programming addresses issues such as Control theory, which are connected to fields such as Normalization.

Between 2018 and 2021, his most popular works were:

  • StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning (54 citations)
  • Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes] (33 citations)
  • Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics (33 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Dongbin Zhao spends much of his time researching Artificial intelligence, Reinforcement learning, Convolutional neural network, Artificial neural network and Deep learning. His research combines Task analysis and Artificial intelligence. His study explores the link between Reinforcement learning and topics such as Function that cross with problems in Trajectory, Rule-based system and Task.

His Convolutional neural network study combines topics in areas such as Contextual image classification and Informatics. His work deals with themes such as State space, Nonlinear system, Transfer of learning, Rate of convergence and Big data, which intersect with Artificial neural network. His Deep learning research is multidisciplinary, incorporating perspectives in Backpropagation and Viewpoints.

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.

Top Publications

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

Ding Wang;Derong Liu;Qinglai Wei;Dongbin Zhao.
Automatica (2012)

303 Citations

Design of a stable sliding-mode controller for a class of second-order underactuated systems

W. Wang;J. Yi;D. Zhao;D. Liu.
IEE Proceedings - Control Theory and Applications (2004)

301 Citations

Adaptive sliding mode fuzzy control for a two-dimensional overhead crane

Diantong Liu;Jianqiang Yi;Dongbin Zhao;Wei Wang.
Mechatronics (2005)

289 Citations

Computational Intelligence in Urban Traffic Signal Control: A Survey

Dongbin Zhao;Yujie Dai;Zhen Zhang.
systems man and cybernetics (2012)

226 Citations

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

Derong Liu;Ding Wang;Dongbin Zhao;Qinglai Wei.
IEEE Transactions on Automation Science and Engineering (2012)

221 Citations

A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach

Zuoshi Song;Jianqiang Yi;Dongbin Zhao;Xinchun Li.
Fuzzy Sets and Systems (2005)

215 Citations

BP neural network prediction-based variable-period sampling approach for networked control systems

Jianqiang Yi;Qian Wang;Dongbin Zhao;John T. Wen.
Applied Mathematics and Computation (2007)

198 Citations

Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

Ding Wang;Derong Liu;Qichao Zhang;Dongbin Zhao.
systems man and cybernetics (2016)

168 Citations

Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach

Dong Xu;Dongbin Zhao;Jianqiang Yi;Xiangmin Tan.
systems man and cybernetics (2009)

156 Citations

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

Chengdong Li;Zixiang Ding;Dongbin Zhao;Jianqiang Yi.
Energies (2017)

150 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-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

Top Scientists Citing Dongbin Zhao

Derong Liu

Derong Liu

University of Illinois at Chicago

Publications: 125

Ding Wang

Ding Wang

Beijing University of Technology

Publications: 87

Haibo He

Haibo He

University of Rhode Island

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Qinglai Wei

Qinglai Wei

Chinese Academy of Sciences

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Huaguang Zhang

Huaguang Zhang

Northeastern University

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Yongchun Fang

Yongchun Fang

Nankai University

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Ning Sun

Ning Sun

Nankai University

Publications: 33

Jianqiang Yi

Jianqiang Yi

Chinese Academy of Sciences

Publications: 31

Fei-Yue Wang

Fei-Yue Wang

Chinese Academy of Sciences

Publications: 26

Changyin Sun

Changyin Sun

Southeast University

Publications: 16

Jing Na

Jing Na

Kunming University of Science and Technology

Publications: 15

YuMing Zhang

YuMing Zhang

University of Kentucky

Publications: 15

Donald C. Wunsch

Donald C. Wunsch

Missouri University of Science and Technology

Publications: 14

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 14

Zhong-Ping Jiang

Zhong-Ping Jiang

New York University

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