| The state of the art of data science and engineering in structural health monitoring Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li Engineering 5 (2), 234-242, 2019 | 437 | 2019 |
| Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images Y Xu, Y Bao, J Chen, W Zuo, H Li Structural Health Monitoring 18 (3), 653-674, 2019 | 307 | 2019 |
| Automatic seismic damage identification of reinforced concrete columns from images by a region‐based deep convolutional neural network Y Xu, S Wei, Y Bao, H Li Structural Control and Health Monitoring 26 (3), e2313, 2019 | 205 | 2019 |
| Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer‐grade camera images Y Xu, S Li, D Zhang, Y Jin, F Zhang, N Li, H Li Structural Control and Health Monitoring 25 (2), e2075, 2018 | 148 | 2018 |
| Uniform and pitting corrosion modeling for high-strength bridge wires S Li, Y Xu, H Li, X Guan Journal of Bridge Engineering 19 (7), 04014025, 2014 | 100 | 2014 |
| Fatigue life prediction for parallel-wire stay cables considering corrosion effects C Lan, Y Xu, C Liu, H Li, BF Spencer Jr International Journal of Fatigue 114, 81-91, 2018 | 93 | 2018 |
| Dense construction vehicle detection based on orientation-aware feature fusion convolutional neural network Y Guo, Y Xu, S Li Automation in Construction 112, 103124, 2020 | 88 | 2020 |
| The 1st international project competition for structural health monitoring (IPC-SHM, 2020): A summary and benchmark problem Y Bao, J Li, T Nagayama, Y Xu, BF Spencer Jr, H Li Structural Health Monitoring 20 (4), 2229-2239, 2021 | 71 | 2021 |
| Probabilistic deterioration model of high-strength steel wires and its application to bridge cables S Li, Y Xu, S Zhu, X Guan, Y Bao Structure and Infrastructure Engineering 11 (9), 1240-1249, 2015 | 70 | 2015 |
| Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer Y Xu, Y Bao, Y Zhang, H Li Structural Health Monitoring 20 (4), 1494-1517, 2021 | 65 | 2021 |
| A self-sparse generative adversarial network for autonomous early-stage design of architectural sketches W Qian, Y Xu, H Li Computer-aided Civil and Infrastructure Engineering 37 (5), 612-628, 2022 | 53 | 2022 |
| Improved swin transformer-based semantic segmentation of postearthquake dense buildings in urban areas using remote sensing images L Cui, X Jing, Y Wang, Y Huan, Y Xu, Q Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 52 | 2022 |
| Deep learning-based pixel-level rock fragment recognition during tunnel excavation using instance segmentation model W Qiao, Y Zhao, Y Xu, Y Lei, Y Wang, S Yu, H Li Tunnelling and Underground Space Technology 115, 104072, 2021 | 52 | 2021 |
| 3-D modelling and statistical properties of surface pits of corroded wire based on image processing technique Y Xu, H Li, S Li, X Guan, C Lan Corrosion Science 111, 275-287, 2016 | 50 | 2016 |
| Lightweight semantic segmentation of complex structural damage recognition for actual bridges Y Xu, Y Fan, H Li Structural Health Monitoring, 14759217221147015, 2023 | 49 | 2023 |
| A two-stage seismic damage assessment method for small, dense, and imbalanced buildings in remote sensing images Y Wang, L Cui, C Zhang, W Chen, Y Xu, Q Zhang Remote Sensing 14 (4), 1012, 2022 | 49 | 2022 |
| Typical advances of artificial intelligence in civil engineering Y Xu, W Qian, N Li, H Li Advances in Structural Engineering 25 (16), 3405-3424, 2022 | 48 | 2022 |
| Relationship modeling between vehicle-induced girder vertical deflection and cable tension by BiLSTM using field monitoring data of a cable-stayed bridge Y Tian, Y Xu, D Zhang, H Li Structural Control and Health Monitoring 28 (2), e2667, 2021 | 43 | 2021 |
| Task-aware meta-learning paradigm for universal structural damage segmentation using limited images Y Xu, Y Fan, Y Bao, H Li Engineering Structures 284, 115917, 2023 | 39 | 2023 |
| A modified U-net for crack segmentation by Self-Attention-Self-Adaption neuron and random elastic deformation J Zhao, F Hu, W Qiao, W Zhai, Y Xu, Y Bao, H Li Smart Structures and Systems 29 (1), 1-16, 2022 | 36* | 2022 |