D-Index & Metrics Best Publications

D-Index & Metrics

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 4,798 123 World Ranking 5788 National Ranking 2064

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the American Society of Mechanical Engineers


What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Control theory

His primary areas of study are Scanning probe microscopy, Feed forward, Control theory, Actuator and Nanotechnology. His Scanning probe microscopy research is multidisciplinary, relying on both Microscope and Scanning capacitance microscopy. His research in Feed forward intersects with topics in Image resolution, Repetitive control and Biomedical engineering.

The study incorporates disciplines such as Vibration and Piezoelectricity in addition to Control theory. His studies in Actuator integrate themes in fields like Fin, Airfoil, Lift-to-drag ratio, Flapping and Mechanical resonance. His Nanotechnology study combines topics from a wide range of disciplines, such as Acoustics, Piezoelectric actuators and Mechanical engineering, Mechanical design.

His most cited work include:

  • Feedback-Linearized Inverse Feedforward for Creep, Hysteresis, and Vibration Compensation in AFM Piezoactuators (304 citations)
  • Invited review article: high-speed flexure-guided nanopositioning: mechanical design and control issues. (300 citations)
  • A review of feedforward control approaches in nanopositioning for high-speed spm (281 citations)

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

Actuator, Control theory, Feed forward, Tracking error and Robot are his primary areas of study. His Actuator study combines topics in areas such as Mechanical engineering, Composite material, Simulation and Voltage. His research on Control theory often connects related topics like Control engineering.

Creep is closely connected to Vibration in his research, which is encompassed under the umbrella topic of Feed forward. His Tracking error research integrates issues from Iterative learning control, Residual and Robust control. His study in Repetitive control is interdisciplinary in nature, drawing from both PID controller, Scanning probe microscopy and Motion control.

He most often published in these fields:

  • Actuator (36.67%)
  • Control theory (36.67%)
  • Feed forward (16.67%)

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

  • Robot (14.67%)
  • Actuator (36.67%)
  • Artificial intelligence (8.00%)

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

Kam K. Leang mainly focuses on Robot, Actuator, Artificial intelligence, Motion planning and Control theory. His Robot study incorporates themes from Propulsion, Real-time computing, Nanotechnology and Payload. The Actuator study combines topics in areas such as Mechanical engineering, Dual stage and Feedforward systems, Feed forward.

The various areas that Kam K. Leang examines in his Mechanical engineering study include Vibration, Bimorph and Wing. As a part of the same scientific family, Kam K. Leang mostly works in the field of Artificial intelligence, focusing on Computer vision and, on occasion, Bayes estimator. His research in the fields of Tracking error, Trajectory and Disturbance observer overlaps with other disciplines such as Control equipment and Vehicle control.

Between 2018 and 2021, his most popular works were:

  • Coordinated Bayesian-Based Bioinspired Plume Source Term Estimation and Source Seeking for Mobile Robots (9 citations)
  • In-Ground-Effect Modeling and Nonlinear-Disturbance Observer for Multirotor Unmanned Aerial Vehicle Control (8 citations)
  • 3D-Printing and Machine Learning Control of Soft Ionic Polymer-Metal Composite Actuators. (7 citations)

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

  • Electrical engineering
  • Artificial intelligence
  • Control theory

Kam K. Leang mainly investigates Robot, Process, Actuator, Real-time computing and Payload. His studies link Chemical sensor with Robot. His Actuator research includes elements of Mechanical engineering, Composite number and Machine learning.

His work deals with themes such as Quadcopter and Range, which intersect with Real-time computing. His study focuses on the intersection of Payload and fields such as Homography with connections in the field of Control theory. Kam K. Leang integrates Control theory with Motion capture in his study.

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

Invited review article: high-speed flexure-guided nanopositioning: mechanical design and control issues.

Y. K. Yong;S. O. R. Moheimani;B. J. Kenton;K. K. Leang.
Review of Scientific Instruments (2012)

388 Citations

A review of feedforward control approaches in nanopositioning for high-speed spm

Garrett M. Clayton;Szuchi Tien;Kam K. Leang;Qingze Zou.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2009)

371 Citations

Feedback-Linearized Inverse Feedforward for Creep, Hysteresis, and Vibration Compensation in AFM Piezoactuators

K.K. Leang;S. Devasia.
IEEE Transactions on Control Systems and Technology (2007)

362 Citations

Design and Control of a Three-Axis Serial-Kinematic High-Bandwidth Nanopositioner

B. J. Kenton;K. K. Leang.
IEEE-ASME Transactions on Mechatronics (2012)

319 Citations

Feedforward control of piezoactuators in atomic force microscope systems

Kam Leang;Qingze Zou;S. Devasia.
IEEE Control Systems Magazine (2009)

249 Citations

Design, Modeling and Control of Nanopositioning Systems

Andrew J. Fleming;Kam K. Leang.

188 Citations

Design of hysteresis-compensating iterative learning control for piezo-positioners: Application to atomic force microscopes

Kam K. Leang;Santosh Devasia.
Mechatronics (2006)

180 Citations

High-speed serial-kinematic AFM scanner: Design and drive considerations

K.K. Leang;A.J. Fleming.
american control conference (2008)

155 Citations

Control Issues in High-speed AFM for Biological Applications: Collagen Imaging Example

Qingze Zou;Kam K. Leang;Eman Sadoun;M. J. Reed.
Asian Journal of Control (2008)

136 Citations

High-speed serial-kinematic SPM scanner: design and drive considerations†

Kam K. Leang;Andrew J. Fleming.
Asian Journal of Control (2009)

127 Citations

Best Scientists Citing Kam K. Leang

Andrew J. Fleming

Andrew J. Fleming

University of Newcastle Australia

Publications: 73

Ian R. Petersen

Ian R. Petersen

Australian National University

Publications: 53

S. O. Reza Moheimani

S. O. Reza Moheimani

The University of Texas at Dallas

Publications: 51

Hemanshu R. Pota

Hemanshu R. Pota

UNSW Sydney

Publications: 49

Santosh Devasia

Santosh Devasia

University of Washington

Publications: 47

Qingsong Xu

Qingsong Xu

University of Macau

Publications: 43

Li-Min Zhu

Li-Min Zhu

Shanghai Jiao Tong University

Publications: 40

Xiaobo Tan

Xiaobo Tan

Michigan State University

Publications: 27

Bijan Shirinzadeh

Bijan Shirinzadeh

Monash University

Publications: 27

Georg Schitter

Georg Schitter

TU Wien

Publications: 27

Dawei Zhang

Dawei Zhang

Tianjin University

Publications: 26

Kwang J. Kim

Kwang J. Kim

University of Nevada, Las Vegas

Publications: 25

Yanling Tian

Yanling Tian

Tianjin University

Publications: 22

Yangmin Li

Yangmin Li

Hong Kong Polytechnic University

Publications: 19

Chun-Yi Su

Chun-Yi Su

Concordia University

Publications: 17

Maurizio Porfiri

Maurizio Porfiri

New York University

Publications: 16

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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