Shengyuan Li 
- (2024): Style-Controlled Image Synthesis of Concrete Damages Based on Fusion of Convolutional Encoder and Attention-Enhanced Conditional Generative Adversarial Network. In: Journal of Computing in Civil Engineering, v. 38, n. 6 (November 2024).
- (2024): Numerical simulation of chloride-induced reinforcement corrosion in cracked concrete based on mesoscopic model. In: Construction and Building Materials, v. 441 (August 2024).
- : Bolt loosening angle detection through arrangement shape-independent perspective transformation and corner point extraction based on semantic segmentation results. In: Structural Health Monitoring.
- (2023): High-resolution concrete damage image synthesis using conditional generative adversarial network. In: Automation in Construction, v. 147 (März 2023).
- (2022): Degradation of Reinforced Concrete Beams Subjected to Sustained Loading and Multi-Environmental Factors. In: Buildings, v. 12, n. 9 (16 September 2022).
- (2018): Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 12 (November 2018).
- (2019): Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 7 (Juni 2019).
- (2019): Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique. In: Advances in Civil Engineering, v. 2019 ( 2019).
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