D-Index & Metrics Best Publications
Mechanical and Aerospace Engineering
China
2022
Mechanical and Aerospace Engineering
Japan
2023

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
Electronics and Electrical Engineering D-index 75 Citations 24,068 1,716 World Ranking 365 National Ranking 9
Mechanical and Aerospace Engineering D-index 75 Citations 23,307 1,720 World Ranking 132 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Mechanical and Aerospace Engineering in Japan Leader Award

2023 - Research.com Electronics and Electrical Engineering in Japan Leader Award

2022 - Research.com Mechanical and Aerospace Engineering in China Leader Award

2010 - IEEE Robotics & Automation Award “For leadership and pioneering contributions to Intelligent Robotic Systems and Micro and Nano Robotic Systems.”

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Internal medicine

Toshio Fukuda mostly deals with Robot, Control theory, Artificial intelligence, Control engineering and Mobile robot. The Robot study combines topics in areas such as Simulation and Decision model. His study in Control theory is interdisciplinary in nature, drawing from both Brachiation and Motion control.

His Artificial intelligence study frequently links to other fields, such as Computer vision. The various areas that Toshio Fukuda examines in his Control engineering study include Control system, Stability, Telerobotics, Task and Teleoperation. He has included themes like Actuator and Trajectory in his Mobile robot study.

His most cited work include:

  • Expression Status of p16 Protein Is Associated with Human Papillomavirus Oncogenic Potential in Cervical and Genital Lesions (507 citations)
  • Theory and applications of neural networks for industrial control systems (359 citations)
  • A new type of fish-like underwater microrobot (319 citations)

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

His main research concerns Robot, Artificial intelligence, Nanotechnology, Control theory and Control engineering. Robot and Simulation are commonly linked in his work. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.

His Nanotechnology research includes themes of Cantilever, Nano- and Scanning electron microscope. His Control theory research focuses on Control theory and Actuator. His research integrates issues of Control system and Control in his study of Control engineering.

He most often published in these fields:

  • Robot (24.10%)
  • Artificial intelligence (22.27%)
  • Nanotechnology (18.48%)

What were the highlights of his more recent work (between 2014-2021)?

  • Nanotechnology (18.48%)
  • Robot (24.10%)
  • Biomedical engineering (7.63%)

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

His scientific interests lie mostly in Nanotechnology, Robot, Biomedical engineering, Artificial intelligence and Control theory. His studies deal with areas such as Tissue engineering, Microfiber and Scanning electron microscope as well as Nanotechnology. Toshio Fukuda combines subjects such as Motion, Human–computer interaction, Simulation and Cane with his study of Robot.

His Biomedical engineering research incorporates elements of Stent, Fractal, Lobules of liver and Dura mater. Robotics is the focus of his Artificial intelligence research. His Control theory research integrates issues from Gait and Mechanism.

Between 2014 and 2021, his most popular works were:

  • A bioinspired multilegged soft millirobot that functions in both dry and wet conditions. (119 citations)
  • Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey (97 citations)
  • Reinforcement Learning of Manipulation and Grasping Using Dynamical Movement Primitives for a Humanoidlike Mobile Manipulator (66 citations)

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

  • Artificial intelligence
  • Mechanical engineering
  • Internal medicine

His primary areas of investigation include Nanotechnology, Robot, Artificial intelligence, Microfluidics and Tissue engineering. His Nanotechnology research incorporates themes from Microfiber, Cantilever and Scanning electron microscope. His Robot research includes elements of Control engineering, Cognition, Simulation and Trajectory.

His study focuses on the intersection of Simulation and fields such as Control theory with connections in the field of Swing. His research integrates issues of Motion and Mobile robot in his study of Trajectory. His research in Artificial intelligence intersects with topics in Human–computer interaction and Computer vision.

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

Expression Status of p16 Protein Is Associated with Human Papillomavirus Oncogenic Potential in Cervical and Genital Lesions

Takaaki Sano;Tetsunari Oyama;Kenji Kashiwabara;Toshio Fukuda.
American Journal of Pathology (1998)

781 Citations

Theory and applications of neural networks for industrial control systems

T. Fukuda;T. Shibata.
IEEE Transactions on Industrial Electronics (1992)

539 Citations

A new type of fish-like underwater microrobot

Shuxiang Guo;T. Fukuda;K. Asaka.
IEEE-ASME Transactions on Mechatronics (2003)

470 Citations

Neuro-fuzzy control of a robotic exoskeleton with EMG signals

K. Kiguchi;T. Tanaka;T. Fukuda.
IEEE Transactions on Fuzzy Systems (2004)

438 Citations

Dynamically Reconfigurable Robotic System

Toshio Fukuda;Seiya Nakagawa.
Journal of robotics and mechatronics (1994)

400 Citations

Assembly of nanodevices with carbon nanotubes through nanorobotic manipulations

T. Fukuda;F. Arai;L. Dong.
Proceedings of the IEEE (2003)

373 Citations

Cellular robotic system (CEBOT) as one of the realization of self-organizing intelligent universal manipulator

T. Fukuda;Y. Kawauchi.
international conference on robotics and automation (1990)

355 Citations

Micro manipulation based on micro physics-strategy based on attractive force reduction and stress measurement

F. Arai;D. Ando;T. Fukuda;Y. Nonoda.
intelligent robots and systems (1995)

286 Citations

Self-tuning fuzzy modeling with adaptive membership function, rules, and hierarchical structure based on genetic algorithm

Koji Shimojima;Toshio Fukuda;Yasuhisa Hasegawa.
Fuzzy Sets and Systems (1995)

277 Citations

A bioinspired multilegged soft millirobot that functions in both dry and wet conditions

Haojian Lu;Mei Zhang;Yuanyuan Yang;Qiang Huang.
Nature Communications (2018)

274 Citations

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