D-Index & Metrics Best Publications
Engineering and Technology
South Korea
2022

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 63 Citations 11,575 358 World Ranking 516 National Ranking 2

Research.com Recognitions

Awards & Achievements

2022 - Research.com Engineering and Technology in South Korea Leader Award

2019 - IEEE Fellow For contributions to adaptive estimation and brain-computer interface techniques

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

Keum-Shik Hong mainly focuses on Artificial intelligence, Functional near-infrared spectroscopy, Control theory, Brain–computer interface and Speech recognition. Keum-Shik Hong combines subjects such as General linear model, Temporal resolution, Deception and Pattern recognition with his study of Artificial intelligence. His Functional near-infrared spectroscopy research includes themes of Reduction, Brain mapping and Computer vision.

His work in Adaptive control, Exponential stability, Lyapunov function, Actuator and Control theory is related to Control theory. His work deals with themes such as Brain activity and meditation, Linear discriminant analysis, Prefrontal cortex and Elementary cognitive task, which intersect with Brain–computer interface. His research integrates issues of Auditory cortex, Artificial neural network, Electroencephalography, Lateralization of brain function and Decoding methods in his study of Speech recognition.

His most cited work include:

  • fNIRS-based brain-computer interfaces: a review (460 citations)
  • Robust adaptive boundary control of a flexible marine riser with vessel dynamics (299 citations)
  • Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface (211 citations)

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

Keum-Shik Hong mainly investigates Control theory, Artificial intelligence, Functional near-infrared spectroscopy, Nonlinear system and Pattern recognition. His Control theory research includes elements of Vibration and Control engineering. His Artificial intelligence study integrates concerns from other disciplines, such as Brain activity and meditation, Brain–computer interface, Electroencephalography and Computer vision.

His studies in Brain–computer interface integrate themes in fields like Speech recognition, Signal and Support vector machine. His Functional near-infrared spectroscopy study necessitates a more in-depth grasp of Prefrontal cortex. His research investigates the connection between Adaptive control and topics such as Partial differential equation that intersect with issues in Boundary value problem.

He most often published in these fields:

  • Control theory (41.70%)
  • Artificial intelligence (19.81%)
  • Functional near-infrared spectroscopy (13.40%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (19.81%)
  • Functional near-infrared spectroscopy (13.40%)
  • Control theory (41.70%)

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

His scientific interests lie mostly in Artificial intelligence, Functional near-infrared spectroscopy, Control theory, Pattern recognition and Brain–computer interface. His biological study spans a wide range of topics, including Quadcopter, Brain activity and meditation, Electroencephalography and Computer vision. His Functional near-infrared spectroscopy research is multidisciplinary, incorporating perspectives in Imaging phantom, Resting state fMRI and Neuroimaging.

His Control theory study combines topics in areas such as Vibration and Vibration control. His work carried out in the field of Pattern recognition brings together such families of science as Feature and Finger tapping. His research in Brain–computer interface intersects with topics in Speech recognition and Signal.

Between 2015 and 2021, his most popular works were:

  • Hybrid EEG-fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control. (112 citations)
  • Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces (97 citations)
  • Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review. (95 citations)

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

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

His primary areas of investigation include Functional near-infrared spectroscopy, Artificial intelligence, Control theory, Pattern recognition and Brain–computer interface. The Functional near-infrared spectroscopy study combines topics in areas such as Neuroimaging and Biomedical engineering. His studies deal with areas such as Electroencephalography, Temporal resolution, Adaptive filter, Prefrontal cortex and Computer vision as well as Artificial intelligence.

His research in the fields of Nonlinear system, Lyapunov function and Exponential stability overlaps with other disciplines such as Decoupling. His research in Pattern recognition intersects with topics in Linear regression, Second derivative, Exponential forgetting, Region of interest and State-space representation. His Brain–computer interface research incorporates elements of Speech recognition, Naive Bayes classifier, Support vector machine, Human–computer interaction and Linear discriminant analysis.

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

fNIRS-based brain-computer interfaces: a review

Noman Naseer;Keum-Shik Hong.
Frontiers in Human Neuroscience (2015)

587 Citations

Robust adaptive boundary control of a flexible marine riser with vessel dynamics

Wei He;Shuzhi Sam Ge;Bernard Voon Ee How;Yoo Sang Choo.
Automatica (2011)

356 Citations

Modified Skyhook Control of Semi-Active Suspensions: A New Model, Gain Scheduling, and Hardware-in-the-Loop Tuning

Keum-Shik Hong;Hyun-Chul Sohn;J. Karl Hedrick.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2002)

316 Citations

Sliding-Mode Antisway Control of an Offshore Container Crane

Q. H. Ngo;K. Hong.
IEEE-ASME Transactions on Mechatronics (2012)

288 Citations

Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain-computer interface.

Noman Naseer;Keum-Shik Hong.
Neuroscience Letters (2013)

255 Citations

Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface

M. Jawad Khan;Melissa Jiyoun Hong;Keum-Shik Hong.
Frontiers in Human Neuroscience (2014)

254 Citations

Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI.

Keum-Shik Hong;Noman Naseer;Yun-Hee Kim.
Neuroscience Letters (2015)

216 Citations

Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface

Noman Naseer;Melissa Jiyoun Hong;Keum-Shik Hong.
Experimental Brain Research (2014)

196 Citations

Direct adaptive control of parabolic systems: algorithm synthesis and convergence and stability analysis

Keum Shik Hong;J. Bentsman.
IEEE Transactions on Automatic Control (1994)

184 Citations

Adaptive sliding mode control of container cranes

Q.H. Ngo;K.-S. Hong.
Iet Control Theory and Applications (2012)

184 Citations

Editorial Boards

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Keum-Shik Hong

Wei He

Wei He

University of Science and Technology Beijing

Publications: 127

Yongchun Fang

Yongchun Fang

Nankai University

Publications: 56

Ning Sun

Ning Sun

Nankai University

Publications: 54

Shuzhi Sam Ge

Shuzhi Sam Ge

National University of Singapore

Publications: 51

Hasan Ayaz

Hasan Ayaz

Drexel University

Publications: 28

William Singhose

William Singhose

Georgia Institute of Technology

Publications: 24

Miroslav Krstic

Miroslav Krstic

University of California, San Diego

Publications: 23

Tom Chau

Tom Chau

University of Toronto

Publications: 23

Huanqing Wang

Huanqing Wang

Carleton University

Publications: 17

Changyin Sun

Changyin Sun

Southeast University

Publications: 17

Sergio M. Savaresi

Sergio M. Savaresi

Politecnico di Milano

Publications: 15

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 15

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 13

Amit Konar

Amit Konar

Jadavpur University

Publications: 12

Khac Duc Do

Khac Duc Do

Curtin University

Publications: 12

Choon Ki Ahn

Choon Ki Ahn

Korea University

Publications: 11

Trending Scientists

Giorgio Baccarani

Giorgio Baccarani

University of Bologna

Leslie A. Rusch

Leslie A. Rusch

Université Laval

Kim K. Baldridge

Kim K. Baldridge

Tianjin University

Andreas Hauser

Andreas Hauser

University of Geneva

Per B. Zetterlund

Per B. Zetterlund

UNSW Sydney

Robert C. Miller

Robert C. Miller

University of British Columbia

Jörg Imberger

Jörg Imberger

University of Miami

Bjørn Munro Jenssen

Bjørn Munro Jenssen

Norwegian University of Science and Technology

Michèle Wessa

Michèle Wessa

Johannes Gutenberg University of Mainz

Maxim Volgushev

Maxim Volgushev

University of Connecticut

Niels G. Waller

Niels G. Waller

University of Minnesota

Wendy Chaboyer

Wendy Chaboyer

Griffith University

Christian A. Drevon

Christian A. Drevon

University of Oslo

Morten Frisch

Morten Frisch

Statens Serum Institut

Holger Thiele

Holger Thiele

Leipzig University

Alan M. Lesgold

Alan M. Lesgold

University of Pittsburgh

Something went wrong. Please try again later.