Jin Kim 
- (2023): Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network. Dans: Structural Control and Health Monitoring, v. 2023 (février 2023).
- (2023): Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 15 (avril 2023).
- (2022): Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022).
- (2022): Road damage detection using super-resolution and semi-supervised learning with generative adversarial network. Dans: Automation in Construction, v. 135 (mars 2022).
- (2022): Evaluating the eco-compatibility of mortars with feldspar-based fine aggregate. Dans: Case Studies in Construction Materials, v. 16 (juin 2022).
- (2021): Road surface damage detection based on hierarchical architecture using lightweight auto-encoder network. Dans: Automation in Construction, v. 130 (octobre 2021).
- (2021): Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network. Dans: Smart Materials and Structures, v. 30, n. 4 (février 2021).
- (2018): An evaluation of factors influencing drag coefficient in double-deck tunnels by CFD simulations using factorial design method. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 180 (septembre 2018).
- (2018): The Design Characteristics of Nature-inspired Buildings. Dans: Civil Engineering and Architecture, v. 6, n. 2 (mars 2018).
- (2006): The evaluation of natural ventilation pressure in Korean long road tunnels with vertical shafts. Dans: Tunnelling and Underground Space Technology, v. 21, n. 3-4 (mai 2006).
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