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