| Deep learning-based roadway crack classification using laser-scanned range images: A comparative study on hyperparameter selection S Zhou, W Song Automation in Construction 114, 103171, 2020 | 117 | 2020 |
| Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance S Zhou, C Canchila, W Song Automation in Construction 146, 104678, 2023 | 67 | 2023 |
| Crack segmentation through deep convolutional neural networks and heterogeneous image fusion S Zhou, W Song Automation in Construction 125, 103605, 2021 | 45 | 2021 |
| Robust image-based surface crack detection using range data S Zhou, W Song Journal of Computing in Civil Engineering 34 (2), 04019054, 2020 | 37 | 2020 |
| Leveraging deep convolutional neural networks pre-trained on autonomous driving data for vehicle detection from roadside LiDAR data S Zhou, H Xu, G Zhang, T Ma, Y Yang IEEE Transactions on Intelligent Transportation Systems 23 (11), 22367-22377, 2022 | 34 | 2022 |
| Concrete roadway crack segmentation using encoder-decoder networks with range images S Zhou, W Song Automation in Construction 120, 103403, 2020 | 34 | 2020 |
| Deep learning–based roadway crack classification with heterogeneous image data fusion S Zhou, W Song Structural Health Monitoring 20 (3), 1274-1293, 2021 | 31 | 2021 |
| Environmental‐effects‐embedded model updating method considering environmental impacts S Zhou, W Song Structural Control and Health Monitoring 25 (3), e2116, 2018 | 15 | 2018 |
| Real-time model updating for magnetorheological damper identification: an experimental study W Song, S Hayati, S Zhou Smart structures and systems 20 (5), 619-636, 2017 | 15 | 2017 |
| Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR S Zhou, H Xu, G Zhang, T Ma, Y Yang Journal of Intelligent Transportation Systems 28 (6), 793-805, 2024 | 7 | 2024 |
| Hyperparameter optimization and importance ranking in deep learning–based crack segmentation C Canchila, S Zhou, W Song Journal of Computing in Civil Engineering 38 (2), 04023042, 2024 | 7 | 2024 |
| Updating finite element models considering environmental impacts S Zhou, W Song Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2016 | 4 | 2016 |
| Fused Image dataset for convolutional neural Network-based crack Detection (FIND) WS Shanglian Zhou, Carlos Canchila https://doi.org/10.5281/zenodo.6383044, 2022 | 3* | 2022 |
| Variation of modal properties induced by combined effects of temperature and boundary condition S Zhou, W Song Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2015 | 3 | 2015 |
| Optimized Long Short-Term Memory Network for LiDAR-Based Vehicle Trajectory Prediction Through Bayesian Optimization S Zhou, I Lashkov, H Xu, G Zhang, Y Yang IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
| DCOR: Dynamic Channel-Wise Outlier Removal to De-Noise LiDAR Data Corrupted by Snow S Zhou, H Xu, G Zhang, T Ma, Y Yang IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
| A Finite Element Model Updating Method Considering Environmental Impacts S Zhou, W Song Topics in Modal Analysis & Testing, Volume 10: Proceedings of the 34th IMAC …, 2016 | 2 | 2016 |
| Deep learning-based crack segmentation through heterogeneous image fusion W Song, S Zhou US Patent 12,146,838, 2024 | 1 | 2024 |
| Crack identification through computer vision: from non-learning-based to learning-based methodologies, and from patch-level to pixel-level detections S Zhou The University of Alabama, 2020 | 1 | 2020 |
| Variation of modal properties by combined effects of temperature and boundary condition S Zhou, W Song Proceedings of SPIE 9435, 0 | 1 | |
