| A state-of-the-art report on computational stochastic mechanics LA Bergman, M Shinozuka, CG Bucher, K Sobczyk, G Dasgupta, ... Probabilistic Engineering Mechanics 12 (4), 197-321, 1997 | 627 | 1997 |
| Time-dependent reliability analysis of existing RC structures in a marine environment using hazard associated with airborne chlorides M Akiyama, DM Frangopol, I Yoshida Engineering Structures 32 (11), 3768-3779, 2010 | 190 | 2010 |
| Geotechnical uncertainty, modeling, and decision making KK Phoon, ZJ Cao, J Ji, YF Leung, S Najjar, T Shuku, C Tang, ZY Yin, ... Soils and Foundations 62 (5), 101189, 2022 | 123 | 2022 |
| Bayesian updating and model class selection with subset simulation FA DiazDelaO, A Garbuno-Inigo, SK Au, I Yoshida Computer Methods in Applied Mechanics and Engineering 317, 1102-1121, 2017 | 109 | 2017 |
| Estimation of trend and random components of conditional random field using Gaussian process regression I Yoshida, Y Tomizawa, Y Otake Computers and Geotechnics 136, 104179, 2021 | 91 | 2021 |
| Identification of conditional stochastic Gaussian field M Hoshiya, I Yoshida Journal of engineering mechanics 122 (2), 101-108, 1996 | 59 | 1996 |
| Benchmark examples for data-driven site characterisation KK Phoon, T Shuku, J Ching, I Yoshida Georisk: Assessment and Management of Risk for Engineered Systems and …, 2022 | 46 | 2022 |
| Damage detection using Monte Carlo filter based on non‐Gaussian noise I Yoshida | 46 | 2001 |
| Health monitoring algorithm by the Monte Carlo filter based on non-Gaussian noise I Yoshida, T Sato Journal of Natural Disaster Science 24 (2), 101-107, 2002 | 43 | 2002 |
| Optimal sampling placement in a Gaussian random field based on value of information I Yoshida, Y Tasaki, Y Otake, S Wu ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2018 | 35 | 2018 |
| Comparison of trend models for geotechnical spatial variability: Sparse Bayesian learning vs. Gaussian process regression J Ching, I Yoshida, KK Phoon Gondwana Research 123, 174-183, 2023 | 26 | 2023 |
| Trend estimation and layer boundary detection in depth-dependent soil data using sparse Bayesian lasso T Shuku, KK Phoon, I Yoshida Computers and Geotechnics 128, 103845, 2020 | 26 | 2020 |
| Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter I Yoshida, T Nakamura, SK Au Structural Safety 102, 102328, 2023 | 22 | 2023 |
| An investigation of bridge influence line identification using time-domain and frequency-domain methods S Mustafa, I Yoshida, H Sekiya Structures 33, 2061-2065, 2021 | 19 | 2021 |
| Bayesian bridge weigh-in-motion and uncertainty estimation I Yoshida, H Sekiya, S Mustafa ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021 | 17 | 2021 |
| Data assimilation and reliability estimation of existing RC structure I Yoshida Second Int. Conf. on Computational Methods in Structural Dynamics and …, 2009 | 16 | 2009 |
| Process noise and optimum observation in conditional stochastic fields M Hoshiya, I Yoshida Journal of engineering mechanics 124 (12), 1325-1330, 1998 | 16 | 1998 |
| A method for rockfall risk quantification and optimal arrangement of protection structures along a road H Kanno, S Moriguchi, Y Tsuda, I Yoshida, S Iwanaga, K Terada Engineering Geology 314, 107004, 2023 | 15 | 2023 |
| Bayesian updating of model parameters by iterative particle filter with importance sampling I Yoshida, T Shuku ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2020 | 15 | 2020 |
| On design of expressway embankment in seismically active area with emphasis on life cycle cost I Towhata, I Yoshida, Y Ishihara, S Suzuki, M Sato, T Ueda Soils and foundations 49 (6), 871-882, 2009 | 14 | 2009 |
