| State-of-the-art review on Bayesian inference in structural system identification and damage assessment Y Huang, C Shao, B Wu, JL Beck, H Li Advances in Structural Engineering 22 (6), 1329-1351, 2019 | 183 | 2019 |
| Robust Bayesian compressive sensing for signals in structural health monitoring Y Huang, JL Beck, S Wu, H Li Computer‐Aided Civil and Infrastructure Engineering 29 (3), 160-179, 2014 | 153 | 2014 |
| Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment Y Huang, JL Beck, H Li Computer Methods in Applied Mechanics and Engineering (in press), arXiv …, 2017 | 135 | 2017 |
| Fractal dimension‐based damage detection method for beams with a uniform cross‐section H Li, Y Huang, J Ou, Y Bao Computer‐Aided Civil and Infrastructure Engineering 26 (3), 190-206, 2011 | 107 | 2011 |
| Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application Y Huang, JL Beck, H Li Structural Safety 64, 37-53, 2017 | 105 | 2017 |
| Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery Y Huang, JL Beck, S Wu, H Li Probabilistic Engineering Mechanics 46, 62-79, 2016 | 96 | 2016 |
| Hierarchical sparse Bayesian learning for structural health monitoring with incomplete modal data Y Huang, JL Beck International Journal for Uncertainty Quantification 5 (2), 2015 | 94 | 2015 |
| Multi-task sparse Bayesian learning with applications in structural health monitoring Yong Huang*, James L. Beck, Hui Li Computer-Aided Civil & Infrastructure Engineering, DOI: 10.1111/mice.12408, 2018 | 74* | 2018 |
| Estimation and warning of fatigue damage of FRP stay cables based on acoustic emission techniques and fractal theory H Li, Y Huang, WL Chen, ML Ma, DW Tao, JP Ou Computer‐Aided Civil and Infrastructure Engineering 26 (7), 500-512, 2011 | 69 | 2011 |
| Structure‐aware 3D reconstruction for cable‐stayed bridges: A learning‐based method F Hu, J Zhao, Y Huang, H Li Computer‐Aided Civil and Infrastructure Engineering 36 (1), 89-108, 2021 | 54 | 2021 |
| Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models MK Vakilzadeh, Y Huang, JL Beck, T Abrahamsson Mechanical Systems and Signal Processing 84 (Part B), 2-20, 2016 | 54 | 2016 |
| Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination Y Huang, JL Beck Computer‐Aided Civil and Infrastructure Engineering, 2018 | 53 | 2018 |
| Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model B Wu, Y Huang, X Chen, S Krishnaswamy, H Li Structural Health Monitoring, doi: 10.1177/1475921716665252, 2016 | 51 | 2016 |
| Sparse Bayesian learning approach for propagation distance recognition and damage localization in plate-like structures using guided waves M Zhao, W Zhou, Y Huang, H Li Structural Health Monitoring 20 (1), 3-24, 2021 | 46 | 2021 |
| Bayesian finite element model updating and assessment of cable-stayed bridges using wireless sensor data P Asadollahi, Y Huang, J Li Sensors 18 (9), 3057, 2018 | 44 | 2018 |
| Sparse Bayesian learning for structural damage detection using expectation–maximization technique R Hou, Y Xia, X Zhou, Y Huang Structural Control and Health Monitoring 26 (5), e2343, 2019 | 42 | 2019 |
| Identifiability of geotechnical site-specific trend functions J Ching, KK Phoon, JL Beck, Y Huang ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2017 | 41 | 2017 |
| A data‐driven approach for seismic damage detection of shear‐type building structures using the fractal dimension of time–frequency features H Li, D Tao, Y Huang, Y Bao Structural Control and Health Monitoring 20 (9), 1191-1210, 2013 | 40 | 2013 |
| Recovering compressed images for automatic crack segmentation using generative models Y Huang, H Zhang, H Li, S Wu Mechanical Systems and Signal Processing 146, 107061, 2021 | 35 | 2021 |
| A Bayesian Approach for Sparse Flaw Detection from Noisy Signals for Ultrasonic NDT B Wu, Y Huang, S Krishnaswamy NDT & E International 85, 76-85, 2017 | 34 | 2017 |
Hui LiHarbin Institute of TechnologyE-mailová adresa ověřena na: hit.edu.cn