World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
5620
World Ranking
9365
National Ranking
1559

Overview

Chih-Chen Chang is affiliated with the Hong Kong University of Science and Technology in China. Their research spans multiple fields, primarily focusing on Engineering and Computer Science, with significant contributions in Civil and Structural Engineering and Computer Vision and Pattern Recognition.

Their work addresses various subfields, including Civil and Structural Engineering, Mechanical Engineering, Media Technology, and Atomic and Molecular Physics, and Optics.

Central topics in their research include Structural Health Monitoring Techniques, Vibration Control and Rheological Fluids, Infrastructure Maintenance and Monitoring, Video Surveillance and Tracking Methods, Innovative Energy Harvesting Technologies, Concrete Corrosion and Durability, and Advanced Neural Network Applications.

Chang has published in several venues, with frequent publications in the Journal of Engineering Mechanics and the Journal of the Chinese Institute of Engineers. Other venues include Structural Health Monitoring, Applied Sciences, and Sensors.

  • Simultaneous pixel-level concrete defect detection and grouping using a fully convolutional model (2021, Structural Health Monitoring)
  • Measurement of the 3He spin-structure functions and of neutron (3He) spin-dependent sum rules at 0.035 ≤ Q2 ≤ 0.24 GeV2 (2020, Physics Letters B)
  • Traffic Light and Arrow Signal Recognition Based on a Unified Network (2021, Applied Sciences)
  • Approximate analysis of eddy-current force under time-varying velocity motion for structural control (2020, Journal of Sound and Vibration)
  • Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks (2021, Sensors)

Chang has collaborated frequently with several coauthors. Notable frequent collaborators include Cheng Ning Loong, Huei-Yung Lin, Chaobo Zhang, Maziar Jamshidi, and Jiazeng Shan.

Best Publications

  • Structural Damage Assessment Based on Wavelet Packet Transform

    Z. Sun;C. C. Chang

  • A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning

    Minkoo Kim;Minkoo Kim;Jack Chin Pang Cheng;Hoon Sohn;Chih-chen Chang

  • Concrete bridge surface damage detection using a single-stage detector

    Chaobo Zhang;Chih‐chen Chang;Maziar Jamshidi

  • Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM

    Min-Koo Kim;Qian Wang;Qian Wang;Joon-Woo Park;Jack Chin Pang Cheng

  • NEURAL NETWORK EMULATION OF INVERSE DYNAMICS FOR A MAGNETORHEOLOGICAL DAMPER

    Chih-Chen Chang;Li Zhou

  • Mass dampers and their optimal designs for building vibration control

    C.C. Chang

  • Neural Network Modeling of a Magnetorheological Damper

    Chih-Chen Chang;Paul Roschke

  • Finite-Element Model Updating for the Kap Shui Mun Cable-Stayed Bridge

    Q.W. Zhang;Q.W. Zhang;Tse-Yung Paul Chang;Tse-Yung Paul Chang;Chih Chen Chang;Chih Chen Chang

  • CONTROL PERFORMANCE OF LIQUID COLUMN VIBRATION ABSORBERS

    C.C. Chang;C.T. Hsu

  • Nontarget Image-Based Technique for Small Cable Vibration Measurement

    Y. F. Ji;C. C. Chang

  • Flexible Videogrammetric Technique for Three-Dimensional Structural Vibration Measurement

    C. C. Chang;Y. F. Ji

  • Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning

    Min Koo Kim;Min Koo Kim;Hoon Sohn;Chih-Chen Chang

  • AMBIENT VIBRATION OF LONG-SPAN CABLE-STAYED BRIDGE

    C. C. Chang;C. C. Chang;T. Y. P. Chang;T. Y. P. Chang;Q. W. Zhang;Q. W. Zhang

  • CONTROL OF BUILDINGS USING ACTIVE TUNED MASS DAMPERS

    C. C. Chang;Henry T. Y. Yang

  • Parametric study on multiple tuned mass dampers for buffeting control of Yangpu Bridge

    Ming Gu;S.R. Chen;C.C. Chang

  • Statistical Wavelet-Based Method for Structural Health Monitoring

    Z. Sun;C. C. Chang

  • Localization and Quantification of Concrete Spalling Defects Using Terrestrial Laser Scanning

    Minkoo Kim;Hoon Sohn;Chih Chen Chang

  • Structural damage detection using an iterative neural network

    C. C. Chang;T. Y. P. Chang;Y. G. Xu;M. L. Wang

  • Finite element model updating for structures with parametric constraints

    Q. W. Zhang;C. C. Chang;T. Y. P. Chang

  • Increase of critical flutter wind speed of long-span bridges using tuned mass dampers

    M. Gu;C.C. Chang;W. Wu;H.F. Xiang

Frequent Co-Authors

Hoon Sohn
Hoon Sohn Korea Advanced Institute of Science and Technology
Suren Chen
Suren Chen Colorado State University
Amine Bermak
Amine Bermak Hamad bin Khalifa University
Jack Chin Pang Cheng
Jack Chin Pang Cheng Hong Kong University of Science and Technology
Zongjin Li
Zongjin Li University of Macau
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Cheng-Hsun Chiu
Cheng-Hsun Chiu Chang Gung University
Thomas C.-K. Yang
Thomas C.-K. Yang National Taipei University of Technology

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