| Data fusion approaches for structural health monitoring and system identification: Past, present, and future RT Wu, MR Jahanshahi Structural Health Monitoring 19 (2), 552-586, 2020 | 173 | 2020 |
| Deep convolutional neural network for structural dynamic response estimation and system identification RT Wu, MR Jahanshahi Journal of Engineering Mechanics 145 (1), 04018125, 2019 | 172 | 2019 |
| A texture‐based video processing methodology using Bayesian data fusion for autonomous crack detection on metallic surfaces FC Chen, MR Jahanshahi, RT Wu, C Joffe Computer‐Aided Civil and Infrastructure Engineering 32 (4), 271-287, 2017 | 156 | 2017 |
| Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance T Ghosh Mondal, MR Jahanshahi, RT Wu, ZY Wu Structural Control and Health Monitoring 27 (4), e2507, 2020 | 103 | 2020 |
| Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures RT Wu, A Singla, MR Jahanshahi, E Bertino, BJ Ko, D Verma Computer‐Aided Civil and Infrastructure Engineering 34 (9), 774-789, 2019 | 95 | 2019 |
| Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation RT Wu, TW Liu, MR Jahanshahi, F Semperlotti Structural and Multidisciplinary Optimization 63, 2399-2423, 2021 | 39 | 2021 |
| Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap E Bertino, MR Jahanshahi, A Singla, RT Wu Discover Internet of Things 1, 1-11, 2021 | 22 | 2021 |
| Two novel approaches to reduce false alarm due to non‐earthquake events for on‐site earthquake early warning system TY Hsu, RT Wu, KC Chang Computer‐Aided Civil and Infrastructure Engineering 31 (7), 535-549, 2016 | 20 | 2016 |
| Peak ground acceleration estimation using P-wave parameters and horizontal-to-vertical spectral ratios TY Hsu, RT Wu, CW Liang, CH Kuo, CM Lin Terr. Atmos. Ocean. Sci 31 (1), 1-8, 2020 | 14 | 2020 |
| A physics-constrained deep learning based approach for acoustic inverse scattering problems RT Wu, M Jokar, MR Jahanshahi, F Semperlotti Mechanical Systems and Signal Processing 164, 2022 | 13 | 2022 |
| Evaluation of bridge instability caused by dynamic scour based on fractal theory TK Lin, RT Wu, KC Chang, YS Chang Smart materials and structures 22 (7), 075003, 2013 | 13 | 2013 |
| Deep-Learning-Based Acoustic Metamaterial Design for Attenuating Structure-Borne Noise in Auditory Frequency Bands TW Liu, CT Chan, RT Wu Materials 16 (5), 1879, 2023 | 11 | 2023 |
| Pruning deep neural networks for efficient edge computing in internet of things: A structural health monitoring case study RIHT WU, A SINGLA, MR JAHANSHAHI, E BERTINO Structural Health Monitoring 2019, 2019 | 3 | 2019 |
| Ensemble-based deep learning for autonomous bridge component and damage segmentation leveraging Nested Reg-UNet A Subedi, W Tang, TG Mondal, RT Wu, MR Jahanshahi Smart Structures and Systems 31 (4), 335-349, 2023 | 2* | 2023 |
| Crack segmentation in high-resolution images using cascaded deep convolutional neural networks and Bayesian data fusion MRJ Wen Tang, Rih-Teng W Smart Structures and Systems 29 (1), 221-235, 2022 | 2* | 2022 |
| Method of determining earthquake event and related earthquake detecting system TY Hsu, RT Wu, SY Wu, PY Lin, SK Huang, HW Chiang, KC Lu, ... US Patent 11,022,707, 2021 | 2 | 2021 |
| Development of a high-fidelity failure prediction system for reinforced concrete bridge columns using generative adversarial networks TY Wu, RT Wu, PH Wang, TK Lin, KC Chang Engineering Structures 286, 116130, 2023 | 1 | 2023 |
| Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation AS Li, E Bertino, RT Wu, TY Wu 2023 IEEE International Conference on Industrial Technology (ICIT), 1-8, 2023 | 1 | 2023 |
| Deep learning-based post-disaster building inspection with channel-wise attention and semi-supervised learning W Tang, TG Mondal, RT Wu, A Subedi, MR Jahanshahi Smart Structures and Systems 31 (4), 365-381, 2023 | 1* | 2023 |
| An Autonomous Video Analysis Method for Crack Detection on Metallic Surfaces Based on Texture Recognition and Bayesian Data Fusion FC Chen, MR Jahanshahi, RT Wu, C Joffe Computing in Civil Engineering 2017, 420-427, 2017 | 1 | 2017 |
