| Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management C Wang, Q Yu, KH Law, F McKenna, SX Yu, E Taciroglu, A Zsarnóczay, ... Automation in Construction 122, 103474, 2021 | 101 | 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 (4), 827-838, 2020 | 70 | 2020 |
| Automatic detection of unreinforced masonry buildings from street view images using deep learning-based image segmentation C Wang, SE Antos, LM Triveno Automation in Construction 132, 103968, 2021 | 63 | 2021 |
| CPT-based evaluation of liquefaction potential accounting for soil spatial variability at multiple scales Q Chen, C Wang, C Hsein Juang Journal of Geotechnical and Geoenvironmental Engineering 142 (2), 04015077, 2016 | 63 | 2016 |
| Probabilistic and spatial assessment of liquefaction-induced settlements through multiscale random field models Q Chen, C Wang, CH Juang Engineering Geology 211, 135-149, 2016 | 58 | 2016 |
| On the spatial variability of CPT-based geotechnical parameters for regional liquefaction evaluation C Wang, Q Chen, M Shen, CH Juang Soil Dynamics and Earthquake Engineering 95, 153-166, 2017 | 54 | 2017 |
| Spatially correlated multiscale Vs30 mapping and a case study of the Suzhou site W Liu, Q Chen, C Wang, CH Juang, G Chen Engineering Geology 220, 110-122, 2017 | 42 | 2017 |
| State of the art in computational simulation for natural hazards engineering GG Deierlein, A Zsarnóczay NHERI SimCenter, 2021 | 40 | 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 | 38 | 2019 |
| Evaluating the flooding level impacts on urban metro networks and travel demand: behavioral analyses, agent-based simulation, and large-scale case study B Zhao, Y Tang, C Wang, S Zhang, K Soga Resilient Cities and Structures 1 (3), 12-23, 2022 | 35 | 2022 |
| Adaln: a vision transformer for multidomain learning and predisaster building information extraction from images Y Guo, C Wang, SX Yu, F McKenna, KH Law Journal of Computing in Civil Engineering 36 (5), 04022024, 2022 | 34 | 2022 |
| Random field-based regional liquefaction hazard mapping—data inference and model verification using a synthetic digital soil field C Hsein Juang, M Shen, C Wang, Q Chen Bulletin of Engineering Geology and the Environment 77 (3), 1273-1286, 2018 | 29 | 2018 |
| A hybrid geotechnical and geological data-based framework for multiscale regional liquefaction hazard mapping C Wang, Q Chen Géotechnique 68 (7), 614-625, 2018 | 29 | 2018 |
| Modeling dynamic responses of heterogeneous seabed with embedded pipeline through multiresolution random field and coupled hydromechanical simulations Z Lai, Q Chen, C Wang, X Zhou Ocean Engineering 173, 556-570, 2019 | 16 | 2019 |
| Blockchain-enabled tokenization for sustainable and inclusive infrastructure investment Y Tian, C Wang, A Asutosh, J Woo, P Adriaens arXiv preprint arXiv:2208.04709, 2022 | 15 | 2022 |
| 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), 04023022, 2023 | 14 | 2023 |
| NHERI-SimCenter/WorkflowRegionalEarthquake: rWHALE (Version v1. 1.0) W Elhaddad, F McKenna, M Rynge, J Lowe, C Wang, A Zsarnoczay Zenodo, 2019 | 14 | 2019 |
| Mix design of sustainable concrete using generative models J Gao, C Wang, SH Chu Journal of Building Engineering 96, 110618, 2024 | 13 | 2024 |
| State of the art in computational simulation for natural hazards engineering (version v2) GG Deierlein, A Zsarnóczay, P Arduino Zenodo: Genève, Switzerland, 2021 | 10 | 2021 |
| Nheri-simcenter W Elhaddad, F McKenna, M Rynge, JB Lowe, C Wang, A Zsarnoczay WorkflowRegionalEarthquake: rWHALE (Version v1. 1.0), 2019 | 10 | 2019 |
