World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
4845
World Ranking
7822
National Ranking
400

Overview

Ching-Tai Ng is affiliated with the University of Adelaide in Australia and has a research focus primarily within the field of engineering. Their work extensively covers subfields such as mechanics of materials, civil and structural engineering, mechanical engineering, ocean engineering, and biomedical engineering.

Their main research topics include:

  • Ultrasonics and Acoustic Wave Propagation
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Geophysical Methods and Applications
  • Concrete Corrosion and Durability
  • Acoustic Wave Resonator Technologies
  • Infrastructure Maintenance and Monitoring

Ching-Tai Ng has contributed significantly to various academic journals, frequently publishing in:

  • Engineering Structures
  • Structural Health Monitoring
  • NDT & E International
  • Journal of Sound and Vibration
  • Ultrasonics

Some notable recent papers include:

  • "The classification and localization of crack using lightweight convolutional neural network with CBAM", 2022, Engineering Structures
  • "Nonlinear guided wave mixing in pipes for detection of material nonlinearity", 2020, Journal of Sound and Vibration
  • "Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges-A Review", 2021, Vibration
  • "Damage classification of in-service steel railway bridges using a novel vibration-based convolutional neural network", 2022, Engineering Structures
  • "Enhancing the performance of stochastic subspace identification method via energy-oriented categorization of modal components", 2021, Engineering Structures

The scientist has collaborated frequently with several coauthors, including:

  • Andrei Kotousov
  • Jiyang Fu
  • James Vidler
  • Liujie Chen
  • Abdul Hamid Sheikh

Best Publications

  • A Lamb-wave-based technique for damage detection in composite laminates

    C T Ng;C T Ng;M Veidt

  • Second harmonic generation at fatigue cracks by low-frequency Lamb waves: experimental and numerical studies

    Yi Yang;Ching-Tai Ng;Andrei Kotousov;Hoon Sohn

  • The classification and localization of crack using lightweight convolutional neural network with CBAM

    Unknown

  • Scattering of the fundamental anti-symmetric Lamb wave at delaminations in composite laminates.

    Ching-Tai Ng;Martin Veidt

  • Locating delaminations in laminated composite beams using nonlinear guided waves

    Reza Soleimanpour;Ching-Tai Ng

  • The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

    Heung Fai Lam;Ching Tai Ng

  • Higher harmonic generation of guided waves at delaminations in laminated composite beams

    Reza Soleimanpour;Ching-Tai Ng;Chun H. Wang

  • Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

    C.T. Ng;M. Veidt;L.R.F. Rose;C.H. Wang

  • Guided wave-based identification of multiple cracks in beams using a Bayesian approach

    Shuai He;Ching-Tai Ng

  • An efficient finite element model for buckling analysis of grid stiffened laminated composite plates

    Liang Huang;Abdul H. Sheikh;Ching-Tai Ng;Michael C. Griffith

  • On the selection of advanced signal processing techniques for guided wave damage identification using a statistical approach

    Ching-Tai Ng

  • Bayesian model updating approach for experimental identification of damage in beams using guided waves

    Ching-Tai Ng

  • Time-domain spectral finite element method for analysis of torsional guided waves scattering and mode conversion by cracks in pipes

    Carman Yeung;Ching Tai Ng

  • Nonlinear guided wave mixing in pipes for detection of material nonlinearity

    Carman Yeung;Ching Tai Ng

  • Electrochemically produced graphene with ultra large particles enhances mechanical properties of Portland cement mortar

    Van Dac Ho;Ching-Tai Ng;Campbell J. Coghlan;Andy Goodwin

  • Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

    Samir Mustapha;Ye Lu;Ching-Tai Ng;Pawel Malinowski

  • Optimum design of phononic crystal perforated plate structures for widest bandgap of fundamental guided wave modes and maximized in-plane stiffness

    Saeid Hedayatrasa;Kazem Abhary;Mohammad Uddin;Ching-Tai Ng

  • Experimental characterization of multiple cracks in a cantilever beam utilizing transient vibration data following a probabilistic approach

    H.F. Lam;C.T. Ng;M. Veidt

  • Effect of uniaxial stress on the propagation of higher-order Lamb wave modes

    Munawwar Mohabuth;Andrei Kotousov;Ching-Tai Ng

  • Bolted joint integrity monitoring with second harmonic generated by guided waves

    Yi Yang;Ching-Tai Ng;Andrei Kotousov

  • Guided wave damage characterisation in beams utilising probabilistic optimisation

    C.T. Ng;C.T. Ng;M. Veidt;H.F. Lam

Frequent Co-Authors

Andrei Kotousov
Andrei Kotousov University of Adelaide
Heung-Fai Lam
Heung-Fai Lam City University of Hong Kong
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Jiyang Fu
Jiyang Fu Guangzhou University
L.R.F. Rose
L.R.F. Rose Defence Science and Technology Group
Togay Ozbakkaloglu
Togay Ozbakkaloglu Texas State University
Chun H. Wang
Chun H. Wang University of New South Wales
Dusan Losic
Dusan Losic University of Adelaide
Aliakbar Gholampour
Aliakbar Gholampour Flinders University
Abdul Hamid Sheikh
Abdul Hamid Sheikh University of Adelaide

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