Shuai Zhao 
- : Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions. Dans: Structural Health Monitoring.
- (2024): Impacts of local climate zone mapping quality on urban near-surface air temperature simulation in WRF-UCM. Dans: Sustainable Cities and Society, v. 101 (février 2024).
- : Deep-learning-based multistate monitoring method of belt conveyor turning section. Dans: Structural Health Monitoring.
- (2023): Study on in-plane and out-of-plane bearing capacity of cold-formed steel composite floor with opening. Dans: Journal of Building Engineering, v. 70 (juillet 2023).
- (2021): A deep learning-based approach for refined crack evaluation from shield tunnel lining images. Dans: Automation in Construction, v. 132 (décembre 2021).
- (2021): Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings. Dans: Structural Control and Health Monitoring, v. 28, n. 6 (avril 2021).
- (2022): Deep learning-based instance segmentation of cracks from shield tunnel lining images. Dans: Structure and Infrastructure Engineering, v. 18, n. 2 (juin 2022).
- (2019): Explicit dynamic fracture simulation of two-phase materials using a novel meso-structure modelling approach. Dans: Composite Structures, v. 208 (janvier 2019).
- (2020): Deep learning–based image instance segmentation for moisture marks of shield tunnel lining. Dans: Tunnelling and Underground Space Technology, v. 95 (janvier 2020).
- (2008): Simulating Experimental Study of Phosphate and Fluoride on the Influence of Phosphogypsum Properties and Microstructure. Dans: Journal of Materials in Civil Engineering (ASCE), v. 20, n. 7 (juillet 2008).
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