H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering H-index 69 Citations 17,787 809 World Ranking 77 National Ranking 6
Electronics and Electrical Engineering H-index 67 Citations 17,847 815 World Ranking 344 National Ranking 36

Research.com Recognitions

Awards & Achievements

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.

Top 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)

523 Citations

A new type of fish-like underwater microrobot

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

455 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.
international conference on robotics and automation (1988)

387 Citations

Assembly of nanodevices with carbon nanotubes through nanorobotic manipulations

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

367 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)

344 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)

283 Citations

Complications associated with transcatheter arterial embolization for hepatic tumors.

I Sakamoto;N Aso;K Nagaoki;Y Matsuoka.
Radiographics (1998)

274 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)

266 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.

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