Tengyuan Zhao 
- (2024): Review and comparison of machine learning methods in developing optimal models for predicting geotechnical properties with consideration of feature selection. In: Soils and Foundations, v. 64, n. 6 (Dezember 2024).
- (2021): Delineating the spatial distribution of soil liquefaction potential in a cross-section from limited cone penetration tests. In: Soil Dynamics and Earthquake Engineering, v. 145 (Juni 2021).
- (2018): Interpretation of pile lateral response from deflection measurement data: A compressive sampling-based method. In: Soils and Foundations, v. 58, n. 4 (August 2018).
- (2020): Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 6, n. 2 (Juni 2020).
- (2019): Simulation of Random Fields with Trend from Sparse Measurements without Detrending. In: Journal of Engineering Mechanics (ASCE), v. 145, n. 2 (Februar 2019).
- (2019): Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loève expansion. In: Structural Safety, v. 79 (Juli 2019).
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