| The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model J Shu, Z Zhang, I Gonzalez, R Karoumi Engineering structures 52, 408-421, 2013 | 139 | 2013 |
| Crack detection and quantification for concrete structures using UAV and transformer W Ding, H Yang, K Yu, J Shu Automation in Construction 152, 104929, 2023 | 91 | 2023 |
| Two-way slabs: Experimental investigation of load redistributions in steel fibre reinforced concrete D Fall, J Shu, R Rempling, K Lundgren, K Zandi Engineering Structures 80, 61-74, 2014 | 63 | 2014 |
| Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning W Zhao, Y Liu, J Zhang, Y Shao, J Shu Structural Control and Health Monitoring 29 (8), e2981, 2022 | 59 | 2022 |
| Data anomaly detection for structural health monitoring using a combination network of GANomaly and CNN G Liu, Y Niu, W Zhao, Y Duan, J Shu Smart Struct Syst 29 (1), 53-62, 2022 | 56 | 2022 |
| Prediction of punching behaviour of RC slabs using continuum non-linear FE analysis J Shu, M Plos, K Zandi, M Johansson, F Nilenius Engineering Structures 125, 15-25, 2016 | 49 | 2016 |
| Internal force distribution in RC slabs subjected to punching shear J Shu, B Belletti, A Muttoni, M Scolari, M Plos Engineering structures 153, 766-781, 2017 | 46 | 2017 |
| Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components W Zhao, Y Jiang, Y Liu, J Shu Automation in Construction 133, 104000, 2022 | 45 | 2022 |
| Development of modelling strategies for two-way RC slabs J Shu, D Fall, M Plos, K Zandi, K Lundgren Engineering Structures 101, 439-449, 2015 | 43 | 2015 |
| BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures Y Gao, J Meng, J Shu, Y Liu Automation in Construction, 104370, 2022 | 41 | 2022 |
| A multi-task learning-based automatic blind identification procedure for operational modal analysis J Shu, C Zhang, Y Gao, Y Niu Mechanical Systems and Signal Processing 187, 109959, 2023 | 40 | 2023 |
| A multi-level structural assessment strategy for reinforced concrete bridge deck slabs M Plos, J Shu, K Zandi, K Lundgren Structure and Infrastructure Engineering 13 (2), 223-241, 2017 | 39 | 2017 |
| Dynamic monitoring and data analysis of a long-span arch bridge based on high-rate GNSS-RTK measurement combining CF-CEEMD method Y Niu, Y Ye, W Zhao, J Shu Journal of Civil Structural Health Monitoring 11, 35-48, 2021 | 31 | 2021 |
| Point cloud-based dimensional quality assessment of precast concrete components using deep learning J Shu, W Li, C Zhang, Y Gao, Y Xiang, L Ma Journal of Building Engineering 70, 106391, 2023 | 27 | 2023 |
| Machine learning-based classification of quality grades for concrete vibration behaviour S Fan, T He, W Li, C Zeng, P Chen, L Chen, J Shu Automation in Construction 167, 105694, 2024 | 24 | 2024 |
| Model-informed deep learning strategy with vision measurement for damage identification of truss structures J Shu, C Zhang, X Chen, Y Niu Mechanical Systems and Signal Processing 196, 110327, 2023 | 23 | 2023 |
| Punching capacity of a reinforced concrete bridge deck slab loaded to failure N Bagge, J Shu, M Plos, L Elfgren Nordic Concrete Federation: Residual capacity of deteriorated concrete …, 2015 | 22 | 2015 |
| Point cloud and machine learning-based automated recognition and measurement of corrugated pipes and rebars for large precast concrete beams J Shu, X Zhang, W Li, Z Zeng, H Zhang, Y Duan Automation in Construction 165, 105493, 2024 | 21 | 2024 |
| Shear capacity of a RC bridge deck slab: Comparison between multilevel assessment and field test J Shu, N Bagge, M Plos, M Johansson, Y Yang, K Zandi Journal of Structural Engineering 144 (7), 04018081, 2018 | 21 | 2018 |
| Crack semantic segmentation using the U-Net with full attention strategy F Lin, J Yang, J Shu, RJ Scherer arXiv preprint arXiv:2104.14586, 2021 | 20 | 2021 |
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