World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5522
World Ranking
8950
National Ranking
241

Overview

Jeong-Tae Kim is affiliated with Pukyong National University in South Korea and focuses research primarily within the field of Engineering. Their work is concentrated in several subfields including Civil and Structural Engineering, Mechanics of Materials, Biomedical Engineering, Mechanical Engineering, and Computer Vision and Pattern Recognition.

The main topics addressed in Kim's research cover a range of areas related to structural assessment and maintenance. These include Structural Health Monitoring Techniques, Ultrasonics and Acoustic Wave Propagation, Infrastructure Maintenance and Monitoring, Non-Destructive Testing Techniques, Concrete Corrosion and Durability, Smart Materials for Construction, and Structural Engineering and Vibration Analysis.

A selection of recent papers authored or coauthored by Jeong-Tae Kim provides insight into the scope of their work:

  • Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model (2020), published in Sensors
  • A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning (2023), published in Developments in the Built Environment
  • Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms (2020), published in Sensors
  • Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data (2022), published in Sensors
  • Monolithic 3D micromixer with an impeller for glass microfluidic systems (2020), published in Lab on a Chip

These papers indicate a strong focus on the use of deep learning and advanced imaging techniques to monitor and assess structural components such as bolts in engineering infrastructure.

Frequent coauthors collaborating with Kim include:

  • Quoc-Bao Ta
  • Thanh-Canh Huynh
  • Quang-Quang Pham
  • Ngoc-Lan Pham
  • Ngoc-Loi Dang

Regarding publication venues, Kim has contributed extensively to Sensors, with 12 publications there. Other venues with multiple contributions include Structural Control and Health Monitoring, Journal of Civil Structural Health Monitoring, Structural Health Monitoring, and Journal of Fisheries and Marine Sciences Education.

Best Publications

  • Damage identification in beam-type structures: frequency-based method vs mode-shape-based method

    Jeong-Tae Kim;Yeon-Sun Ryu;Hyun-Man Cho;Norris Stubbs

  • Damage Localization in Structures Without Baseline Modal Parameters

    Norris Stubbs;Jeong-Tae Kim

  • Crack detection in beam-type structures using frequency data

    J.-T. Kim;N. Stubbs

  • Field Verification of a Nondestructive Damage Localization and Severity Estimation Algorithm

    N. Stubbs;J. T. Kim;C. R. Farrar

  • Improved damage identification method based on modal information

    J.-T. Kim;N. Stubbs

  • Model-Uncertainty Impact and Damage-Detection Accuracy in Plate Girder

    Jeong-Tae Kim;Norris Stubbs

  • Vibration-based damage monitoring in model plate-girder bridges under uncertain temperature conditions

    Jeong-Tae Kim;Jae-Hyung Park;Byung-Jun Lee

  • An investigation into unified chassis control scheme for optimised vehicle stability and manoeuvrability

    Wanki Cho;Jangyeol Yoon;Jeongtae Kim;Jaewoong Hur

  • Quasi-autonomous bolt-loosening detection method using vision-based deep learning and image processing

    Thanh-Canh Huynh;Jae-Hyung Park;Hyung-Jo Jung;Jeong-Tae Kim

  • Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches

    Jeong-Tae Kim;Jae-Hyung Park;Dong-Soo Hong;Woo-Sun Park

  • Identification of prestress-loss in PSC beams using modal information

    Jeong-Tae Kim;Chung-Bang Yun;Yeon-Sun Ryu;Hyun-Man Cho

  • Vision-based technique for bolt-loosening detection in wind turbine tower

    Jae-Hyung Park;Thanh-Canh Huynh;Sang-Hoon Choi;Jeong-Tae Kim

  • Damage Detection In Offshore Jacket Structures From Limited Modal Information

    Jeong-Tae Kim;Norris Stubbs

  • Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements

    Jae Hyung Park;Jeong Tae Kim;Dong Soo Hong;David Mascarenas

  • Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface

    Thanh-Canh Huynh;Ngoc-Loi Dang;Jeong-Tae Kim

  • Vibration and impedance monitoring for prestress-loss prediction in PSC girder bridges

    Jeong-Tae Kim;Jae-Hyung Park;Dong-Soo Hong;Hyun-Man Cho

  • Sequential damage detection approaches for beams using time-modal features and artificial neural networks

    Jae-Hyung Park;Jeong-Tae Kim;Dong-Soo Hong;Duc-Duy Ho

  • Impedance-Based Cable Force Monitoring in Tendon-Anchorage Using Portable PZT-Interface Technique

    Thanh-Canh Huynh;Jeong-Tae Kim

  • Nondestructive Crack Detection Algorithm for Full-Scale Bridges

    Jeong-Tae Kim;Norris Stubbs

  • Quantification of temperature effect on impedance monitoring via PZT interface for prestressed tendon anchorage

    Thanh-Canh Huynh;Jeong-Tae Kim

  • A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning

    Unknown

  • Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model.

    Hai Chien Pham;Quoc-Bao Ta;Jeong-Tae Kim;Duc-Duy Ho

  • RBFN‐based temperature compensation method for impedance monitoring in prestressed tendon anchorage

    Thanh‐Canh Huynh;Jeong‐Tae Kim

  • Structural identification of cable-stayed bridge under back-to-back typhoons by wireless vibration monitoring

    Thanh-Canh Huynh;Jae-Hyung Park;Jeong-Tae Kim

  • Smart PZT-interface for wireless impedance-based prestress-loss monitoring in tendon-anchorage connection

    Khac Duy Nguyen;Jeong-Tae Kim

Frequent Co-Authors

Chung Bang Yun
Chung Bang Yun Korea Advanced Institute of Science and Technology
Masanobu Shinozuka
Masanobu Shinozuka Columbia University
Hyung-Jo Jung
Hyung-Jo Jung Korea Advanced Institute of Science and Technology
Hong-Nan Li
Hong-Nan Li Dalian University of Technology
Gangbing Song
Gangbing Song University of Houston
Jerome P. Lynch
Jerome P. Lynch University of Michigan–Ann Arbor
Maria Q. Feng
Maria Q. Feng Columbia University
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Yoon-Koo Kang
Yoon-Koo Kang Asan Medical Center
Ting-Hua Yi
Ting-Hua Yi Dalian University of Technology

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