| Modelling and forecasting of SHM strain measurement for a large-scale suspension bridge during typhoon events using variational heteroscedastic Gaussian process QA Wang, C Zhang, ZG Ma, YQ Ni Engineering Structures 251, 113554, 2022 | 65 | 2022 |
| Seismic fragility analysis of highway bridges considering multi-dimensional performance limit state Q Wang, Z Wu, S Liu Earthquake Engineering and Engineering Vibration 11 (2), 185-193, 2012 | 51 | 2012 |
| Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme QA Wang, Y Dai, ZG Ma, YQ Ni, JQ Tang, XQ Xu, ZY Wu Structural Control and Health Monitoring 29 (11), e3070, 2022 | 42 | 2022 |
| Multivariate probabilistic seismic demand model for the bridge multidimensional fragility analysis Q Wang, Z Wu, S Liu KSCE Journal of Civil Engineering 22, 3443-3451, 2018 | 39 | 2018 |
| Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events QA Wang, CB Wang, ZG Ma, W Chen, YQ Ni, CF Wang, BG Yan, PX Guan Structural Health Monitoring 21 (6), 2933-2950, 2022 | 36 | 2022 |
| Reliability assessment of a hierarchical system subjected to inconsistent priors and multilevel data L Yang, Y Guo, Q Wang IEEE Transactions on Reliability 69 (1), 277-292, 2019 | 34 | 2019 |
| Sparse‐sensing and superpixel‐based segmentation model for concrete cracks X Xie, J Cai, H Wang, Q Wang, J Xu, Y Zhou, B Zhou Computer‐Aided Civil and Infrastructure Engineering 37 (13), 1769-1784, 2022 | 32 | 2022 |
| Review of wireless RFID strain sensing technology in structural health monitoring G Liu, QA Wang, G Jiao, P Dang, G Nie, Z Liu, J Sun Sensors 23 (15), 6925, 2023 | 31 | 2023 |
| Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability QA Wang, Y Dai, ZG Ma, JF Wang, JF Lin, YQ Ni, WX Ren, J Jiang, ... Structural Health Monitoring 23 (1), 588-604, 2024 | 28 | 2024 |
| Shm deformation monitoring for high-speed rail track slabs and bayesian change point detection for the measurements QA Wang, C Zhang, ZG Ma, J Huang, YQ Ni, C Zhang Construction and Building materials 300, 124337, 2021 | 24 | 2021 |
| Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics L Yang, P Wang, Q Wang, S Bi, R Peng, J Behrensdorf, M Beer Reliability Engineering & System Safety 209, 107469, 2021 | 24 | 2021 |
| Measurement and forecasting of high-speed rail track slab deformation under uncertain SHM data using variational heteroscedastic gaussian process QA Wang, YQ Ni Sensors 19 (15), 3311, 2019 | 24 | 2019 |
| Simulation of the compressive strength of cemented tailing backfill through the use of firefly algorithm and random forest model QA Wang, J Zhang, J Huang Shock and Vibration 2021 (1), 5536998, 2021 | 23 | 2021 |
| Towards long‐transmission‐distance and semi‐active wireless strain sensing enabled by dual‐interrogation‐mode RFID technology QA Wang, C Zhang, ZG Ma, GY Jiao, XW Jiang, YQ Ni, YC Wang, YT Du, ... Structural Control and Health Monitoring 29 (11), e3069, 2022 | 20 | 2022 |
| Structural system reliability analysis based on improved explicit connectivity BNs Q Wang, Z Wu KSCE Journal of Civil Engineering 22 (3), 916-927, 2018 | 20 | 2018 |
| Underground mine safety and health: A hybrid MEREC–CoCoSo system for the selection of best sensor Q Wang, T Cheng, Y Lu, H Liu, R Zhang, J Huang Sensors 24 (4), 1285, 2024 | 17 | 2024 |
| ICA-LightGBM algorithm for predicting compressive strength of geo-polymer concrete Q Wang, J Qi, S Hosseini, H Rasekh, J Huang Buildings 13 (9), 2278, 2023 | 14 | 2023 |
| Multi-dimensional fragility analysis of bridge system under earthquake Q WANG, Z WU, Z JIA Engineering Mechanics 30 (10), 192-198, 2013 | 13 | 2013 |
| Predicting the International Roughness Index of JPCP and CRCP Rigid Pavement: A Random Forest (RF) Model Hybridized with Modified Beetle Antennae Search (MBAS) for Higher Accuracy. Z Ji, M Zhou, Q Wang, J Huang Computer Modeling in Engineering & Sciences (CMES) 139 (2), 2024 | 12 | 2024 |
| Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete X Shi, S Chen, Q Wang, Y Lu, S Ren, J Huang Gels 10 (2), 148, 2024 | 12 | 2024 |
