| Utilization of steel slag as aggregate in asphalt mixtures for microwave deicing J Gao, A Sha, Z Wang, Z Tong, Z Liu Journal of Cleaner Production 152, 429-442, 2017 | 189 | 2017 |
| Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks Z Tong, J Gao, H Zhang Construction and Building Materials 146, 775-787, 2017 | 168 | 2017 |
| Recognition of asphalt pavement crack length using deep convolutional neural networks Z Tong, J Gao, Z Han, Z Wang Road Materials and Pavement Design 19 (6), 1334-1349, 2018 | 124 | 2018 |
| Advances of deep learning applications in ground-penetrating radar: A survey Z Tong, J Gao, D Yuan Construction and Building Materials 258, 120371, 2020 | 96 | 2020 |
| Innovative method for recognizing subgrade defects based on a convolutional neural network Z Tong, J Gao, H Zhang Construction and Building Materials 169, 69-82, 2018 | 91 | 2018 |
| Convolutional Neural Network for Asphalt Pavement Surface Texture Analysis T Zheng, G Jie, S Aimin, L Hu, L Shuai Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1056-1072, 2018 | 82 | 2018 |
| An evidential classifier based on Dempster-Shafer theory and deep learning Z Tong, P Xu, T Denoeux Neurocomputing 450, 275-293, 2021 | 80 | 2021 |
| Pavement-distress detection using ground-penetrating radar and network in networks T Zheng, Y Dongdong, G Jie, W Yongfeng, D Hui Construction and Building Materials 233, 117352, 2020 | 79 | 2020 |
| Convolutional neural network for pothole detection in asphalt pavement W Ye, W Jiang, Z Tong, D Yuan, J Xiao Road Materials and Pavement Design, 1-17, 2019 | 77 | 2019 |
| Autonomous pavement distress detection using ground penetrating radar and region-based deep learning J Gao, D Yuan, Z Tong, J Yang, D Yu Measurement 164, 108077, 2020 | 75 | 2020 |
| Pavement defect detection with fully convolutional network and an uncertainty framework T Zheng, Y Dongdong, G Jie, W Zhenjun Computer-aided civil and infrastructure engineering, 2020 | 68 | 2020 |
| Recognition and measurement of pavement disasters based on convolutional neural networks A Sha, Z Tong, J Gao China Journal of Highway and Transport 31 (1), 1-10, 2018 | 61* | 2018 |
| Evaluating the cycling comfort on urban roads based on cyclists' perception of vibration J Gao, A Sha, Y Huang, L Hu, Z Tong, W Jiang Journal of Cleaner Production 192, 531-541, 2018 | 59 | 2018 |
| Study on the optimum rice husk ash content added in asphalt binder and its modification with bio-oil Z Han, A Sha, Z Tong, Z Liu, J Gao, X Zou, D Yuan Construction and Building Materials 147, 776-789, 2017 | 52 | 2017 |
| A deeper generative adversarial network for grooved cement concrete pavement crack detection J Zhong, J Huyan, W Zhang, H Cheng, J Zhang, Z Tong, X Jiang, B Huang Engineering Applications of Artificial Intelligence 119, 105808, 2023 | 40 | 2023 |
| Kinetic and thermodynamic modeling of Portland cement hydration at low temperatures Z Liu, A Sha, L Hu, Y Lu, W Jiao, Z Tong, J Gao Chemical Papers 71 (4), 741-751, 2017 | 40 | 2017 |
| Evidential fully convolutional network for semantic segmentation Z Tong, P Xu, T Denœux Applied Intelligence, 1-24, 2021 | 31 | 2021 |
| Construction quality evaluation of asphalt pavement based on BIM and GIS C Han, F Tang, T Ma, L Gu, Z Tong Automation in Construction 141, 104398, 2022 | 27 | 2022 |
| High-throughput design of fiber reinforced cement-based composites using deep learning Z Tong, J Huo, Z Wang Cement and Concrete Composites 113, 103716, 2020 | 27 | 2020 |
| ConvNet and Dempster-Shafer Theory for Object Recognition Z Tong, P Xu, T Denœux International Conference on Scalable Uncertainty Management, 368-381, 2019 | 25 | 2019 |
Aimin ShaProfessor of Highway Engineering,Chang'an University在 chd.edu.cn 的电子邮件经过验证
