| Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling Y Wang, T Zhao Géotechnique, 2016 | 143 | 2016 |
| Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loève expansion S Montoya-Noguera, T Zhao, Y Hu, Y Wang, KK Phoon Structural Safety 79, 66-79, 2019 | 109 | 2019 |
| Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation Y Wang, T Zhao, KK Phoon Canadian Geotechnical Journal 55 (6), 862-880, 2018 | 109 | 2018 |
| Site-specific probability distribution of geotechnical properties Y Wang, T Zhao, Z Cao Computers and Geotechnics 70, 159-168, 2015 | 98 | 2015 |
| Simulation of random fields with trend from sparse measurements without detrending Y Wang, T Zhao, Y Hu, KK Phoon Journal of Engineering Mechanics 145 (2), 04018130, 2019 | 83 | 2019 |
| Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling T Zhao, Y Hu, Y Wang Engineering Geology 246, 162-175, 2018 | 81 | 2018 |
| Interpretation of soil property profile from limited measurement data: a compressive sampling perspective Y Wang, T Zhao Canadian Geotechnical Journal 53 (9), 1547-1559, 2016 | 79 | 2016 |
| Interpolation of spatially varying but sparsely measured geo-data: A comparative study Y Wang, OV Akeju, T Zhao Engineering Geology 231, 200-217, 2017 | 78 | 2017 |
| Interpolation and stratification of multilayer soil property profile from sparse measurements using machine learning methods T Zhao, Y Wang Engineering Geology 165, 105430, 2020 | 59 | 2020 |
| Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC … T Zhao, Y Wang Reliability Engineering & System Safety 203, 107087, 2020 | 57 | 2020 |
| Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing T Zhao, Y Wang Mechanical Systems and Signal Processing 112, 384–400, 2018 | 54 | 2018 |
| Fast non-parametric simulation of 2D multi-layer cone penetration test (CPT) data without pre-stratification using Markov Chain Monte Carlo simulation T Zhao, L Xu, Y Wang Engineering geology 273, 105670, 2020 | 49 | 2020 |
| Determination of Efficient Sampling Locations in Geotechnical Site Characterization Using Information Entropy and Bayesian Compressive Sampling T Zhao, Y Wang Canadian Geotechnical Journal 56 (11), 1622-1637, 2019 | 49 | 2019 |
| Interpolating spatially varying soil property values from sparse data for facilitating characteristic value selection T Zhao, S Montoya-Noguera, KK Phoon, Y Wang Canadian Geotechnical Journal 55 (2), 171-181, 2018 | 45 | 2018 |
| Cone penetration test (CPT)-based subsurface soil classification and zonation in two-dimensional vertical cross section using Bayesian compressive sampling Y Wang, Y Hu, T Zhao Canadian Geotechnical Journal 57 (7), 947-958, 2020 | 35 | 2020 |
| Direct simulation of two-dimensional isotropic or anisotropic random field from sparse measurement using Bayesian compressive sampling Y Hu, T Zhao, Y Wang, C Choi, CWW Ng Stochastic environmental research and risk assessment 33, 1477-1496, 2019 | 33 | 2019 |
| Sample size determination in geotechnical site investigation considering spatial variation and correlation Y Wang, Z Guan, T Zhao Canadian Geotechnical Journal 56 (7), 992-1002, 2019 | 33 | 2019 |
| CPT-based subsurface soil classification and zonation in a 2D vertical cross-section using Bayesian compressive sampling Y Wang, Y Hu, T Zhao NRC Research Press (a division of Canadian Science Publishing), 2019 | 31 | 2019 |
| Bayesian supervised learning of site-specific geotechnical spatial variability from sparse measurements Y Hu, Y Wang, T Zhao, KK Phoon ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2020 | 24 | 2020 |
| Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational Bayesian inference T Zhao, Y Wang Mathematical Geosciences 53 (6), 1171-1199, 2021 | 23 | 2021 |
Yu WangCity University of Hong KongVerified email at cityu.edu.hk
