| Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network S Li, X Zhao, G Zhou Computer‐Aided Civil and Infrastructure Engineering 34 (7), 616-634, 2019 | 400 | 2019 |
| Image-based concrete crack detection using convolutional neural network and exhaustive search technique S Li, X Zhao Advances in civil engineering 2019, 2019 | 206 | 2019 |
| Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements H Li, S Laima, J Ou, X Zhao, W Zhou, Y Yu, N Li, Z Liu Engineering Structures 33 (6), 1894-1907, 2011 | 206 | 2011 |
| Automatic damage detection of historic masonry buildings based on mobile deep learning N Wang, X Zhao, P Zhao, Y Zhang, Z Zou, J Ou Automation in Construction 103, 53-66, 2019 | 192 | 2019 |
| Structural health monitoring system for the Shandong Binzhou Yellow River highway bridge H Li, J Ou, X Zhao, W Zhou, H Li, Z Zhou, Y Yang Computer‐Aided Civil and Infrastructure Engineering 21 (4), 306-317, 2006 | 155 | 2006 |
| Applying sensor-based technology to improve construction safety management M Zhang, T Cao, X Zhao Sensors 17 (8), 1841, 2017 | 152 | 2017 |
| Damage classification for masonry historic structures using convolutional neural networks based on still images N Wang, Q Zhao, S Li, X Zhao, P Zhao Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1073-1089, 2018 | 129 | 2018 |
| Autonomous bolt loosening detection using deep learning Y Zhang, X Sun, KJ Loh, W Su, Z Xue, X Zhao Structural Health Monitoring 19 (1), 105-122, 2020 | 120 | 2020 |
| Brillouin corrosion expansion sensors for steel reinforced concrete structures using a fiber optic coil winding method X Zhao, P Gong, G Qiao, J Lu, X Lv, J Ou Sensors 11 (11), 10798-10819, 2011 | 108 | 2011 |
| Bolt loosening angle detection technology using deep learning X Zhao, Y Zhang, N Wang Structural Control and Health Monitoring 26 (1), e2292, 2019 | 107 | 2019 |
| Initial validation of mobile-structural health monitoring method using smartphones Y Yu, R Han, X Zhao, X Mao, W Hu, D Jiao, M Li, J Ou International Journal of Distributed Sensor Networks 11 (2), 274391, 2015 | 95 | 2015 |
| Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning N Wang, X Zhao, Z Zou, P Zhao, F Qi Computer‐Aided Civil and Infrastructure Engineering 35 (3), 277-291, 2020 | 80 | 2020 |
| Bridge displacement monitoring method based on laser projection-sensing technology X Zhao, H Liu, Y Yu, X Xu, W Hu, M Li, J Ou Sensors 15 (4), 8444-8463, 2015 | 75 | 2015 |
| Portable and convenient cable force measurement using smartphone X Zhao, R Han, Y Ding, Y Yu, Q Guan, W Hu, M Li, J Ou Journal of Civil Structural Health Monitoring 5, 481-491, 2015 | 65 | 2015 |
| Artificial intelligence-based hull structural plate corrosion damage detection and recognition using convolutional neural network Y Yao, Y Yang, Y Wang, X Zhao Applied Ocean Research 90, 101823, 2019 | 63 | 2019 |
| Displacement monitoring technique using a smartphone based on the laser projection-sensing method X Zhao, H Liu, Y Yu, Q Zhu, W Hu, M Li, J Ou Sensors and Actuators A: Physical 246, 35-47, 2016 | 57 | 2016 |
| A new idea: Mobile structural health monitoring using Smart phones Y Yu, X Zhao, J Ou 2012 Third International Conference on Intelligent Control and Information …, 2012 | 56 | 2012 |
| Safety distance identification for crane drivers based on mask R-CNN Z Yang, Y Yuan, M Zhang, X Zhao, Y Zhang, B Tian Sensors 19 (12), 2789, 2019 | 55 | 2019 |
| Convolutional neural networks-based crack detection for real concrete surface S Li, X Zhao Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018 | 55 | 2018 |
| Automatic crack detection and measurement of concrete structure using convolutional encoder-decoder network S Li, X Zhao IEEE Access 8, 134602-134618, 2020 | 52 | 2020 |
