Yinghao Zhao 
- (2023): Parallel convolutional neural network toward high efficiency and robust structural damage identification. Dans: Structural Health Monitoring, v. 22, n. 6 (avril 2023).
- (2023): Experimental study on vertical temperature distribution of the two-layer smoke flow in tunnel during construction. Dans: Tunnelling and Underground Space Technology, v. 136 (juin 2023).
- (2022): A Deep Learning-based Method for Automatic Abnormal Data Detection:Case Study for Bridge Structural Health Monitoring. Dans: International Journal of Structural Stability and Dynamics, v. 23, n. 11 (décembre 2022).
- (2022): Autonomous surface crack identification of concrete structures based on an improved one-stage object detection algorithm. Dans: Engineering Structures, v. 272 (décembre 2022).
- (2022): Spatial-temporal prediction of the environmental conditions inside an urban road tunnel during an incident scenario. Dans: Building and Environment, v. 212 (mars 2022).
- (2021): Progressive-models method for evaluating interactive stability of steel box girders for bridges – Extension of progressive collapse method in ship structures. Dans: Structures, v. 33 (octobre 2021).
- (2020): A Novel Artificial Bee Colony Algorithm for Structural Damage Detection. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).
- (2019): Deterministic snap-through buckling and energy trapping in axially-loaded notched strips for compliant building blocks. Dans: Smart Materials and Structures, v. 29, n. 2 (décembre 2019).
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