Hyungchul Yoon

Korea National University of Transportation — South Korea

Engineering · Physical Sciences

19h-index1.4kcitations66works4.12yr avg
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Research Topics

Structural Health Monitoring Techniques(34), Infrastructure Maintenance and Monitoring(27), 3D Surveying and Cultural Heritage(12), Optical measurement and interference techniques(11), Structural Engineering and Vibration Analysis(10)

Publications66 total

Automatic 3D railroad alignment detection using modified Hough transform
Scientific Reports·2025Open Access
Vision-based geometric finite element model updating for cable suspension bridges
Advanced Engineering Informatics·2025· 1 cited
Dual‐reference approach for vision‐based structural displacement measurement using time‐varying Kalman filter
Computer-Aided Civil and Infrastructure Engineering·2025· 4 citedOpen Access
Automated digital transformation for pedestrian suspension bridges using hybrid semantic structure from motion
Automation in Construction·2025· 1 cited
Finite Element Model Updating for Identifying Structural Stiffness in Bridge Structures via Computer Vision and Deep Learning
IEEE Sensors Journal·2025· 1 cited
A vision‐based weigh‐in‐motion approach for vehicle load tracking and identification
Computer-Aided Civil and Infrastructure Engineering·2025· 7 citedOpen Access
Advances in artificial intelligence for structural health monitoring: A comprehensive review
KSCE Journal of Civil Engineering·2025· 31 citedOpen Access
A Hybrid Vision-Based Structural Displacement Measurement Integrating Optical Flow and Deep Learning with Time-Varying Kalman Filter
SSRN Electronic Journal·2025Open Access
Lidar-Based 3d Railroad Alignment Detection Using Pointnet++ and Modified Hough Transform
SSRN Electronic Journal·2025Open Access
Automated Digital Transformation for Pedestrian Suspension Bridges Using Hybrid Semantic Structure from Motion
SSRN Electronic Journal·2025Open Access
A Hybrid Approach of Long Short-Term Memory and Machine Learning With Acoustic Emission Sensors for Structural Damage Localization
IEEE Sensors Journal·2024· 5 cited
Field observation and cause investigation of low-frequency cable vibrations in a cable-stayed bridge
Engineering Structures·2024· 2 cited
A hybrid approach for vision-based structural displacement measurement using transforming model prediction and KLT
Mechanical Systems and Signal Processing·2024· 21 cited
Data-Driven Insights into Controlling the Reactivity of Supplementary Cementitious Materials in Hydrated Cement
International Journal of Concrete Structures and Materials·2024· 9 citedOpen Access
Vision-Based Displacement Measurement of Pedestrian Suspension Bridges
Korean Society of Hazard Mitigation·2024Open Access
Corrigendum to “Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform” [Mech. Syst. Signal Process. 204 (2023) 110831]
Mechanical Systems and Signal Processing·2024· 3 cited
Machine learning applied to predicting phase assemblages of hardened cementitious systems
Ceramics International·2024· 1 cited
A Hybrid Approach of Long Short-Term Memory and Machine Learning with Acoustic Emission Sensors for Structural Damage Localization
SSRN Electronic Journal·2024Open Access
Digital Transformation for Truss Bridges Using Pixel-Wise Semantic Structure from Motion
SSRN Electronic Journal·2024Open Access
Influence Line Based Finite Element Model Updating for Beam Structures Using Computer Vision and Deep Learning
SSRN Electronic Journal·2024Open Access
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Frequent Co-authors

Geonyeol Jeon(6), Gun Park(6), Billie F. Spencer(5), B. F. Spencer(5), Yun-Woo Lee(5), Van Vy(5), Youngjib Ham(5), Kevin Han(5), Jong‐Woong Park(4), JinYeong Bak(4), Solmoi Park(4), Jae Hyuk Lee(4), Sun-Joong Kim(4), Seunghee Park(4), Xuan Tinh Nguyen(4), Sangsub Ahn(3), Ho-Kyung Kim(3), Geonhee Lee(3), Jongwon Jung(3), Mani Golparvar‐Fard(2)