Sunjoong Kim 
- : Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications. In: KSCE Journal of Civil Engineering.
- (2023): Vibration detection of stay-cable from low-quality CCTV images using deep-learning-based dehazing and semantic segmentation algorithms. In: Engineering Structures, v. 292 (October 2023).
- (2023): Deep Gaussian process regression for damping of a long-span bridge under varying environmental and operational conditions. In: Journal of Civil Structural Health Monitoring, v. 13, n. 6-7 (June 2023).
- (2023): Pointwise multiclass vibration classification for cable-supported bridges using a signal-segmentation deep network. In: Engineering Structures, v. 279 (March 2023).
- (2018): Value of monitoring data for long-span bridge operation – Aerodynamic point of view. Presented at: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.
- (2022): Long-Term Damping Characteristics of a Cable-Stayed Bridge. Presented at: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.
- (2022): Machine-learning-based prediction of vortex-induced vibration in long-span bridges using limited information. In: Engineering Structures, v. 266 (September 2022).
- (2022): Vision‐based automatic cable displacement measurement using Cable‐ROI Net and Uni‐KLT. In: Structural Control and Health Monitoring, v. 29, n. 8 (3 July 2022).
- (2022): Automated damping identification of long-span bridge using long-term wireless monitoring data with multiple sensor faults. In: Journal of Civil Structural Health Monitoring, v. 12, n. 2 (23 February 2022).
- (2022): Using supervised learning techniques to automatically classify vortex-induced vibration in long-span bridges. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 221 (February 2022).
- (2021): Long-Term Damping Characteristics of Twin Cable-Stayed Bridge under Environmental and Operational Variations. In: Journal of Bridge Engineering (ASCE), v. 26, n. 9 (September 2021).
- (2019): System Identification of Long-Span Suspended Footbridges. Presented at: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.
- (2020): Data-driven modeling of modal parameters of long-span bridges under environmental and operational variation. Presented at: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.
- (2017): Structural Safety Assessment of a Suspension Bridge using Analysis Model Updating. Presented at: IABSE Workshop: Ignorance, Uncertainty, and Human Errors in Structural Engineering, Helsinki, Finland, 15-16 February 2017.
- (2014): Wake galloping phenomena between two parallel/unparallel cylinders. In: Wind & Structures, v. 18, n. 5 (May 2014).
- (2017): Effect of gap distance on vortex-induced vibration in two parallel cable-stayed bridges. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 162 (March 2017).
- (2012): An Experimental Investigation on Characteristics of Flow Field of Wake Galloping. Presented at: 18th IABSE Congress: Innovative Infrastructures – Towards Human Urbanism, Seoul, Korea, 19-21 September 2012.
- (2020): Cause investigation of high-mode vortex-induced vibration in a long-span suspension bridge. In: Structure and Infrastructure Engineering, v. 16, n. 1 (7 October 2020).
- (2017): Signal stationarization technique in output-only damping identification. Presented at: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.
- (2013): Performance of Unpretensioned Wind Stabilizing Cables in the Construction of a Cable-Stayed Bridge. In: Journal of Bridge Engineering (ASCE), v. 18, n. 8 (August 2013).
- (2017): Damping Identification and Serviceability Assessment of a Cable-Stayed Bridge Based on Operational Monitoring Data. In: Journal of Bridge Engineering (ASCE), v. 22, n. 3 (March 2017).
- (2018): Enhanced Damping Estimation for Cable-Stayed Bridges Based on Operational Monitoring Data. In: Structural Engineering International, v. 28, n. 3 (July 2018).
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