| Real‐time regional seismic damage assessment framework based on long short‐term memory neural network Y Xu, X Lu, B Cetiner, E Taciroglu Computer‐Aided Civil and Infrastructure Engineering 36 (4), 504-521, 2021 | 156 | 2021 |
| A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions X Lu, Y Xu, Y Tian, B Cetiner, E Taciroglu Earthquake Engineering & Structural Dynamics 50 (6), 1612-1627, 2021 | 115 | 2021 |
| Data-driven approach to predict the plastic hinge length of reinforced concrete columns and its application DC Feng, B Cetiner, MR Azadi Kakavand, E Taciroglu Journal of Structural Engineering 147 (2), 04020332, 2021 | 107 | 2021 |
| Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management C Wang, Q Yu, KH Law, F McKenna, XY Stella, E Taciroglu, A Zsarnóczay, ... Automation in Construction 122, 103474, 2021 | 82 | 2021 |
| Rapid visual screening of soft-story buildings from street view images using deep learning classification Q Yu, C Wang, F McKenna, SX Yu, E Taciroglu, B Cetiner, KH Law Earthquake Engineering and Engineering Vibration 19, 827-838, 2020 | 52 | 2020 |
| CRAFT: Comprehensive resilience assessment framework for transportation systems in urban areas B Cetiner, E Koc, A Rose, L Soibelman, E Taciroglu, D Wei Advanced Engineering Informatics 46, 101159, 2020 | 40 | 2020 |
| State of the art in computational simulation for natural hazards engineering GG Deierlein, A Zsarnóczay NHERI SimCenter, 2021 | 35 | 2021 |
| Building information modeling and classification by visual learning at a city scale Q Yu, C Wang, B Cetiner, SX Yu, F Mckenna, E Taciroglu, KH Law arXiv preprint arXiv:1910.06391, 2019 | 30 | 2019 |
| Site specific response analysis for performance based design earthquake characteristics G Tönük, A Ansal, A Kurtuluş, B Çetiner Bulletin of Earthquake Engineering 12, 1091-1105, 2014 | 29 | 2014 |
| NHERI-SimCenter/R2DTool: Version 4.0.0 F McKenna, S Gavrilovic, A Zsarnoczay, J Zhao, K Zhong, B Cetiner, S Yi, ... URL https://doi. org/10.5281/zenodo 10448043, 2024 | 23* | 2024 |
| Building Recognition Using AI at Large-Scale (BRAILS) version 3.1.3 B Cetiner, C Wang, F McKenna, S Hornauer, J Zhao https://doi.org/10.5281/zenodo.13366748, 2024 | 12* | 2024 |
| A granular simulation of bridge closures due to a southern california scenario earthquake and its effects on the disruption and recovery of freight traffic to and from ports of … B Cetiner, E Koc, L Soibelman, E Taciroglu, EJ Lee, A Nutakki International Conference on Sustainable Infrastructure 2019, 575-585, 2019 | 9 | 2019 |
| Validation of an Augmented Parcel Approach for Hurricane Regional Loss Assessments T Kijewski-Correa, B Cetiner, K Zhong, C Wang, A Zsarnoczay, Y Guo, ... Natural Hazards Review 24 (3), 2023 | 8 | 2023 |
| Effect of spectra scaling on site specific design earthquake characteristics based on 1D site response analysis A Ansal, G Tönük, A Kurtuluş, B Çetiner Proceedings of 15WCEE, Lisbon, Portugal, 2012 | 8 | 2012 |
| System-based vulnerability and resilience assessment in mega-scale transportation systems: Towards data and model-driven methodologies E Koc, B Cetiner, L Soibelman, E Taciroglu Computing in Civil Engineering 2019: Smart Cities, Sustainability, and …, 2019 | 6 | 2019 |
| A granular framework for modeling the capacity loss and recovery of regional transportation networks under seismic hazards: A case study on the Port of Los Angeles MB Virtucio, B Cetiner, B Zhao, K Soga, E Taciroglu International Journal of Disaster Risk Reduction 100, 104164, 2024 | 5 | 2024 |
| Image-Based Modeling of Bridges and Its Applications to Evaluating Resiliency of Transportation Networks B Cetiner University of California, Los Angeles, 2020 | 3 | 2020 |
| System-Based Resilience Assessment of Networked Transportation Systems in Metropolitan Areas: Case of Greater Los Angeles. E Koc, B Cetiner, EJ Lee, L Soibelman, E Taciroglu, A Nutakki 26th International Workshop on Intelligent Computing in Engineering, EG-ICE 2019, 2018 | 3 | 2018 |
| Using Street-Level Hurricane Damage Datasets to Advance AI-Supported Damage Detection and Characterization E Miller, B Cetiner, J Berman, J Wartman, K Dedinsky, L Lowes, JL Irish AGU24, 2024 | | 2024 |
| AI-Supported Automated Building Damage Detection from Reconnaissance Imagery B Cetiner, J Berman, J Wartman, F McKenna AGU24, 2024 | | 2024 |