Zhi-wei Wang 
- (2024): Temperature analysis and prediction for road-rail steel truss cable-stayed bridges based on the structural health monitoring. In: Engineering Structures, v. 315 (September 2024).
- (2024): Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 247 (April 2024).
- (2023): Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring. In: Computers & Structures, v. 284 (August 2023).
- (2022): Long-term missing wind data recovery using free access databases and deep learning for bridge health monitoring. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 230 (November 2022).
- (2022): Temperature Prediction of Flat Steel Box Girders of Long-Span Bridges Utilizing In Situ Environmental Parameters and Machine Learning. In: Journal of Bridge Engineering (ASCE), v. 27, n. 3 (März 2022).
- (2021): Circular-linear-linear probabilistic model based on vine copulas: An application to the joint distribution of wind direction, wind speed, and air temperature. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 215 (August 2021).
- (2021): Effect of the main cable bending stiffness on flexural and torsional vibrations of suspension bridges: Analytical approach. In: Engineering Structures, v. 240 (August 2021).
- (2019): An analytical algorithm for reasonable central tower stiffness in the three-tower suspension bridge with unequal-length main spans. In: Engineering Structures, v. 199 (November 2019).
- (2020): Joint Distribution of Wind Speed, Wind Direction, and Air Temperature Actions on Long-Span Bridges Derived via Trivariate Metaelliptical and Plackett Copulas. In: Journal of Bridge Engineering (ASCE), v. 25, n. 9 (September 2020).
- (2020): Joint values determination of wind and temperature actions on long-span bridges: Copula-based analysis using long-term meteorological data. In: Engineering Structures, v. 219 (September 2020).
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