H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 31 Citations 4,618 190 World Ranking 3370 National Ranking 394

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to bio-inspired swimming robots

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Robot

His primary areas of investigation include Control theory, Control engineering, Mobile robot, Robot kinematics and Motion control. His Control theory research is multidisciplinary, relying on both Artificial neural network, Mechanism, Uniqueness and Robot fish. Junzhi Yu interconnects Biomimetics, Robot locomotion and Decentralised system in the investigation of issues within Control engineering.

His Mobile robot study combines Robot and Artificial intelligence studies. Junzhi Yu has researched Robot kinematics in several fields, including Turning radius, Fin, Attitude control, Simulation and Robot control. His research in Motion control tackles topics such as PID controller which are related to areas like Electronic speed control, Fuzzy control system, Machine vision and Fuzzy logic.

His most cited work include:

  • Development of a biomimetic robotic fish and its control algorithm (355 citations)
  • A Survey on CPG-Inspired Control Models and System Implementation (143 citations)
  • Global stability analysis of fractional-order Hopfield neural networks with time delay (135 citations)

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

His scientific interests lie mostly in Control theory, Robot, Control engineering, Mobile robot and Artificial intelligence. His Control theory research incorporates elements of Mechanism and Fuzzy logic. Junzhi Yu combines subjects such as Simulation and Human–computer interaction with his study of Robot.

His Control engineering research incorporates themes from Control, Servomotor, Task and Robot control. His Mobile robot study integrates concerns from other disciplines, such as Biomimetics, Motion planning and Motion control. In general Artificial intelligence, his work in Robotics, Object detection and Visualization is often linked to Detector linking many areas of study.

He most often published in these fields:

  • Control theory (44.98%)
  • Robot (37.17%)
  • Control engineering (27.88%)

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

  • Control theory (44.98%)
  • Artificial intelligence (27.14%)
  • Robot (37.17%)

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

The scientist’s investigation covers issues in Control theory, Artificial intelligence, Robot, Computer vision and Control theory. His study looks at the intersection of Control theory and topics like Motion control with Control. His research in the fields of Object detection, Visualization, Feature extraction and Kalman filter overlaps with other disciplines such as Detector.

His work on Robot kinematics and Motion planning as part of general Robot research is frequently linked to Service and Flapping, bridging the gap between disciplines. The various areas that Junzhi Yu examines in his Computer vision study include Odometry and Mobile robot. His biological study spans a wide range of topics, including Fuzzy logic and Reinforcement learning.

Between 2019 and 2021, his most popular works were:

  • Temporally Identity-Aware SSD With Attentional LSTM (28 citations)
  • A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System (11 citations)
  • Underwater Bioinspired Propulsion: From Inspection to Manipulation (10 citations)

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

  • Artificial intelligence
  • Control theory
  • Computer vision

Junzhi Yu mainly investigates Artificial intelligence, Computer vision, Robot, Robot kinematics and Control theory. The concepts of his Artificial intelligence study are interwoven with issues in Filter and Fusion frame. His Robot research includes elements of Vibration, Servomotor, Turning radius and Fish fin.

The Robot kinematics study combines topics in areas such as Obstacle avoidance and Sonar. Junzhi Yu combines subjects such as Underwater robotics, Rotor and Motion control with his study of Control theory. His Control theory research integrates issues from Tracking, Mobile robot and Reinforcement learning.

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

Development of a biomimetic robotic fish and its control algorithm

Junzhi Yu;Min Tan;Shuo Wang;Erkui Chen.
systems man and cybernetics (2004)

496 Citations

A Survey on CPG-Inspired Control Models and System Implementation

Junzhi Yu;Min Tan;Jian Chen;Jianwei Zhang.
IEEE Transactions on Neural Networks (2014)

193 Citations

Global stability analysis of fractional-order Hopfield neural networks with time delay

Hu Wang;Yongguang Yu;Guoguang Wen;Shuo Zhang.
Neurocomputing (2015)

164 Citations

Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators

Long Cheng;Weichuan Liu;Zeng-Guang Hou;Junzhi Yu.
IEEE Transactions on Industrial Electronics (2015)

158 Citations

Dynamic analysis of a fractional-order Lorenz chaotic system

Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li;Sha Wang;Junzhi Yu.
Chaos Solitons & Fractals (2009)

155 Citations

Leader-Following Formation Control of Multiple Mobile Robots

Jinyan Shao;Guangming Xie;Junzhi Yu;Long Wang.
international symposium on intelligent control (2005)

125 Citations

On a Bio-inspired Amphibious Robot Capable of Multimodal Motion

Junzhi Yu;Rui Ding;Qinghai Yang;Min Tan.
IEEE-ASME Transactions on Mechatronics (2012)

120 Citations

Parameter Optimization of Simplified Propulsive Model for Biomimetic Robot Fish

Junzhi Yu;Long Wang.
international conference on robotics and automation (2005)

118 Citations

Adaptive task assignment for multiple mobile robots via swarm intelligence approach

Dandan Zhang;Guangming Xie;Junzhi Yu;Long Wang.
Robotics and Autonomous Systems (2007)

116 Citations

A simplified propulsive model of bio-mimetic robot fish and its realization

Junzhi Yu;Shuo Wang;Min Tan.
Robotica (2005)

98 Citations

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Best Scientists Citing Junzhi Yu

Min Tan

Min Tan

Chinese Academy of Sciences

Publications: 40

Guangming Xie

Guangming Xie

Peking University

Publications: 38

Tingwen Huang

Tingwen Huang

Texas A&M University at Qatar

Publications: 34

Chuandong Li

Chuandong Li

Southwest University

Publications: 29

Jinde Cao

Jinde Cao

Southeast University

Publications: 28

Long Wang

Long Wang

Peking University

Publications: 25

Xiaobo Tan

Xiaobo Tan

Michigan State University

Publications: 23

Jian-Xin Xu

Jian-Xin Xu

National University of Singapore

Publications: 21

Shuxiang Guo

Shuxiang Guo

Beijing Institute of Technology

Publications: 20

Shugen Ma

Shugen Ma

Ritsumeikan University

Publications: 19

Yongguang Yu

Yongguang Yu

Beijing Jiaotong University

Publications: 18

Maurizio Porfiri

Maurizio Porfiri

New York University

Publications: 17

Huosheng Hu

Huosheng Hu

University of Essex

Publications: 13

Zhigang Zeng

Zhigang Zeng

Huazhong University of Science and Technology

Publications: 13

Long Cheng

Long Cheng

Chinese Academy of Sciences

Publications: 11

Ding Wang

Ding Wang

Beijing University of Technology

Publications: 10

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