Lingkun Chen 
- : Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework. In: Structural Health Monitoring.
- (2023): Floating column mechanism experimental investigation in historic timber buildings subjected to decay for seismic resilience. In: The Structural Design of Tall and Special Buildings, v. 33, n. 3 (Dezember 2023).
- (2023): Measuring Total Transverse Reference-Free Displacements of Railroad Bridges Using Two Degrees of Freedom: Experimental Validation. In: Journal of Infrastructure Systems, v. 29, n. 2 (Juni 2023).
- (2023): Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images. In: Engineering Structures, v. 276 (Februar 2023).
- (2022): Experimental Study on a Low-Rise Shear Wall with the Built-In Shear Steel Plate. In: Advances in Civil Engineering, v. 2022 (Januar 2022).
- (2022): Structural damage-causing concrete cracking detection based on a deep-learning method. In: Construction and Building Materials, v. 337 (Juni 2022).
- (2021): Experimental and Numerical Study on Ultimate Shear Load Carrying Capacity of Corroded RC Beams. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2019): Estimation of Time-Averaged Shear Wave Velocity (SWV) to 30 m considering Site SWV Structural Characteristic. In: Advances in Civil Engineering, v. 2019 ( 2019).
- (2011): Research on Seismic Response and Damping Effect for High-Speed Railway Seismic Isolated Bridge. In: The Open Civil Engineering Journal, v. 5, n. 1 ( 2011).
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