D-Index & Metrics Best Publications

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
Engineering and Technology D-index 31 Citations 3,786 201 World Ranking 5569 National Ranking 639

Research.com Recognitions

Awards & Achievements

2007 - IEEE Fellow For contributions to nano-robotic manipulation and assembly

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Mechanical engineering

Ning Xi mainly focuses on Robot, Nanotechnology, Control theory, Control engineering and Simulation. His research integrates issues of Control theory, CAD, Trajectory and Computer vision in his study of Robot. As part of one scientific family, Ning Xi deals mainly with the area of Nanotechnology, narrowing it down to issues related to the Polyvinylidene fluoride, and often Lift.

His Control theory study incorporates themes from Image sensor, Robot kinematics, Motion planning and Motion control. His biological study spans a wide range of topics, including Telerobotics, Teleoperation and Laser. The study incorporates disciplines such as Mechanical engineering, Spray painting, Kinematics and Mobile robot in addition to Simulation.

His most cited work include:

  • Development of augmented reality system for AFM-based nanomanipulation (207 citations)
  • Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment (142 citations)
  • Haptic information in Internet-based teleoperation (125 citations)

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

His primary areas of investigation include Nanotechnology, Robot, Artificial intelligence, Control engineering and Carbon nanotube. His Nanotechnology research integrates issues from Biophysics and Nano-. His Robot study integrates concerns from other disciplines, such as Simulation and Control theory.

As part of his studies on Artificial intelligence, Ning Xi often connects relevant areas like Computer vision. Ning Xi focuses mostly in the field of Control engineering, narrowing it down to topics relating to Motion control and, in certain cases, Visual servoing. His work in Carbon nanotube addresses subjects such as Optoelectronics, which are connected to disciplines such as Infrared.

He most often published in these fields:

  • Nanotechnology (35.25%)
  • Robot (18.31%)
  • Artificial intelligence (13.90%)

What were the highlights of his more recent work (between 2014-2018)?

  • Nanotechnology (35.25%)
  • Biophysics (11.86%)
  • Actuator (4.75%)

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

The scientist’s investigation covers issues in Nanotechnology, Biophysics, Actuator, Robot and Control engineering. His Nanotechnology research is multidisciplinary, relying on both Lymphoma, CD20 and Drug. Ning Xi interconnects Adhesion, Relaxation, Monoclonal, Cell membrane and Fluorescence microscope in the investigation of issues within Biophysics.

The Robot study combines topics in areas such as Stability, Simulation, Nonlinear system, Efficient energy use and Realization. His Simulation research incorporates themes from Wireless sensor network, Electric power transmission and Artificial intelligence. His Control engineering study combines topics in areas such as Langevin equation and Manipulator.

Between 2014 and 2018, his most popular works were:

  • Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks (45 citations)
  • Investigating dynamic structural and mechanical changes of neuroblastoma cells associated with glutamate-mediated neurodegeneration (45 citations)
  • MSU Tailbot: Controlling Aerial Maneuver of a Miniature-Tailed Jumping Robot (45 citations)

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

  • Artificial intelligence
  • Electrical engineering
  • Mechanical engineering

Ning Xi mostly deals with Nanotechnology, Nanoscopic scale, Biophysics, Cell biology and Cell and molecular biology. His study in Nanoscopic scale is interdisciplinary in nature, drawing from both Cell mechanics, Mechanical dynamics, Cell membrane and Drug action, Drug. His Biophysics research is multidisciplinary, incorporating elements of Primary cell, Relaxation, CD19 and Microscopy.

His work deals with themes such as Adhesion, Cell adhesion, Cytoskeleton and Fluorescence microscope, which intersect with Cell biology. His research in Fluorescence microscope intersects with topics in Cytotoxic T cell, Lysis, Monoclonal antibody and Cytotoxicity. Other disciplines of study, such as Molecular mechanics, Molecular imaging, Molecular recognition and Biomolecule, are mixed together with his Cell and molecular biology studies.

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 augmented reality system for AFM-based nanomanipulation

Guangyong Li;Ning Xi;Mengmeng Yu;Wai-Keung Fung.
IEEE-ASME Transactions on Mechatronics (2004)

267 Citations

Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment

Di Xiao;B.K. Ghosh;Ning Xi;T.J. Tarn.
IEEE Transactions on Control Systems and Technology (2000)

220 Citations

Haptic information in Internet-based teleoperation

I. Elhajj;N. Xi;Wai Keung Fung;Yun Hui Liu.
IEEE-ASME Transactions on Mechatronics (2001)

172 Citations

Climbing the walls [robots]

R. Lal Tummala;R. Mukherjee;Ning Xi;D. Aslam.
IEEE Robotics & Automation Magazine (2002)

166 Citations

Integrated Task Planning and Control for Mobile Manipulators

Jindong Tan;Ning Xi;Yuechao Wang.
The International Journal of Robotics Research (2003)

140 Citations

Automated robot trajectory planning for spray painting of free-form surfaces in automotive manufacturing

Heping Chen;Weihua Sheng;Ning Xi;Mumin Song.
international conference on robotics and automation (2002)

119 Citations

CAD-guided automated nanoassembly using atomic force microscopy-based nonrobotics

Heping Chen;Ning Xi;Guangyong Li.
IEEE Transactions on Automation Science and Engineering (2006)

114 Citations

Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks

Jiangcheng Chen;Jiangcheng Chen;Xiaodong Zhang;Yu Cheng;Ning Xi.
Biomedical Signal Processing and Control (2018)

112 Citations

Dynamics Analysis and Motion Planning for Automated Cell Transportation With Optical Tweezers

Yanhua Wu;Dong Sun;Wenhao Huang;Ning Xi.
IEEE-ASME Transactions on Mechatronics (2013)

99 Citations

A 2-D PVDF force sensing system for micro-manipulation and micro-assembly

C.K.M. Fung;I. Elhajj;W.J. Li;Ning Xi.
international conference on robotics and automation (2002)

87 Citations

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