| Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach S Mangalathu, SH Hwang, JS Jeon Engineering Structures 219, 110927, 2020 | 679 | 2020 |
| Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques S Mangalathu, JS Jeon Engineering Structures 160, 85-94, 2018 | 338 | 2018 |
| Interpretable XGBoost-SHAP machine-learning model for shear strength prediction of squat RC walls DC Feng, WJ Wang, S Mangalathu, E Taciroglu Journal of Structural Engineering 147 (11), 04021173, 2021 | 294 | 2021 |
| Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls S Mangalathu, H Jang, SH Hwang, JS Jeon Engineering Structures 208, 110331, 2020 | 277 | 2020 |
| Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach J Rahman, KS Ahmed, NI Khan, K Islam, S Mangalathu Engineering Structures 233, 111743, 2021 | 260 | 2021 |
| Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes S Mangalathu, G Heo, JS Jeon Engineering Structures 162, 166-176, 2018 | 256 | 2018 |
| Classifying earthquake damage to buildings using machine learning S Mangalathu, H Sun, CC Nweke, Z Yi, HV Burton Earthquake Spectra 36 (1), 183-208, 2020 | 253 | 2020 |
| Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements DC Feng, WJ Wang, S Mangalathu, G Hu, T Wu Engineering Structures 235, 111979, 2021 | 246 | 2021 |
| Machine learning–based failure mode recognition of circular reinforced concrete bridge columns: Comparative study S Mangalathu, JS Jeon Journal of Structural Engineering 145 (10), 04019104, 2019 | 241 | 2019 |
| Rapid seismic damage evaluation of bridge portfolios using machine learning techniques S Mangalathu, SH Hwang, E Choi, JS Jeon Engineering Structures 201, 109785, 2019 | 182 | 2019 |
| Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames SH Hwang, S Mangalathu, J Shin, JS Jeon Journal of Building Engineering 34, 101905, 2021 | 166 | 2021 |
| Critical uncertainty parameters influencing seismic performance of bridges using Lasso regression S Mangalathu, JS Jeon, R DesRoches Earthquake Engineering and Structural Dynamics 47 (3), 784-801, 2018 | 162 | 2018 |
| Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement S Mangalathu, H Shin, E Choi, JS Jeon Journal of Building Engineering 39, 102300, 2021 | 136 | 2021 |
| Predicting the dissolution kinetics of silicate glasses using machine learning NM Krishnan, S Mangalathu, MM Smedskjaer, A Tandia, H Burton, ... Journal of Non-Crystalline Solids 487, 37-45, 2018 | 133 | 2018 |
| Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques S Mangalathu, JS Jeon Earthquake Engineering & Structural Dynamics 48 (11), 1238-1255, 2019 | 130 | 2019 |
| PERFORMANCE BASED GROUPING AND FRAGILITY ANALYSIS OF BOX-GIRDER BRIDGES IN CALIFORNIA S Mangalathu Georgia Institute of Technology, 2017 | 117 | 2017 |
| Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions S Mangalathu, HV Burton International Journal of Disaster Risk Reduction 36, 101111, 2019 | 115 | 2019 |
| Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems S Mangalathu, K Karthikeyan, DC Feng, JS Jeon Engineering Structures 250, 112883, 2022 | 99 | 2022 |
| Parameterized seismic fragility curves for curved multi-frame concrete box-girder bridges using Bayesian parameter estimation JS Jeon, S Mangalathu, J Song, R Desroches Journal of Earthquake Engineering 23 (6), 954-979, 2019 | 96 | 2019 |
| ANCOVA-based grouping of bridge classes for seismic fragility assessment S Mangalathu, JS Jeon, JE Padgett, R DesRoches Engineering Structures 123, 379-394, 2016 | 93 | 2016 |
Jong-Su JeonAssociate Professor of Civil and Environmental Engineering, Hanyang Universityhanyang.ac.kr의 이메일 확인됨