| CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection J Huyan, W Li, S Tighe, Z Xu, J Zhai Structural Control and Health Monitoring 27 (8), e2551, 2020 | 293 | 2020 |
| New innovations in pavement materials and engineering: A review on pavement engineering research 2021 JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo, S Guo, B Han, B Hong, ... Journal of Traffic and Transportation Engineering (English Edition) 8 (6 …, 2021 | 157 | 2021 |
| CrackW-Net: A novel pavement crack image segmentation convolutional neural network C Han, T Ma, J Huyan, X Huang, Y Zhang IEEE Transactions on Intelligent Transportation Systems 23 (11), 22135-22144, 2021 | 157 | 2021 |
| Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network J Huyan, W Li, S Tighe, J Zhai, Z Xu, Y Chen Automation in Construction 107, 102946, 2019 | 139 | 2019 |
| Multi-scale feature fusion network for pixel-level pavement distress detection J Zhong, J Zhu, J Huyan, T Ma, W Zhang Automation in Construction 141, 104436, 2022 | 61 | 2022 |
| 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 | 60 | 2023 |
| Illumination Compensation Model with k-Means Algorithm for Detection of Pavement Surface Cracks with Shadow J Huyan, W Li, S Tighe, R Deng, S Yan Journal of Computing in Civil Engineering 34 (1), 04019049, 2020 | 42 | 2020 |
| Three-dimensional pavement crack detection algorithm based on two-dimensional empirical mode decomposition W Li, J Huyan, SL Tighe, Q Ren, Z Sun Journal of Transportation Engineering, Part B: Pavements 143 (2), 04017005, 2017 | 39 | 2017 |
| Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method J Huyan, T Ma, W Li, H Yang, Z Xu Structural Control and Health Monitoring 29 (8), e2974, 2022 | 35 | 2022 |
| Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming W Zhang, A Khan, J Huyan, J Zhong, T Peng, H Cheng Construction and Building Materials 306, 124924, 2021 | 35 | 2021 |
| Evidential transformer for pavement distress segmentation Z Tong, T Ma, W Zhang, J Huyan Computer‐Aided Civil and Infrastructure Engineering 38 (16), 2317-2338, 2023 | 34 | 2023 |
| International roughness index prediction based on multigranularity fuzzy time series and particle swarm optimization W Li, J Huyan, L Xiao, S Tighe, L Pei Expert Systems with Applications: X 2, 100006, 2019 | 34 | 2019 |
| Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition H Yao, Y Liu, H Lv, J Huyan, Z You, Y Hou Computer‐Aided Civil and Infrastructure Engineering 39 (10), 1490-1506, 2024 | 22 | 2024 |
| Small foreign metal objects detection in X-ray images of clothing products using faster R-CNN and feature pyramid network R Gao, Z Sun, J Huyan, W Li, L Xiao, B Yao, H Wang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 22 | 2021 |
| Pavement cracking detection based on three-dimensional data using improved active contour model W Li, J Huyan, SL Tighe Journal of Transportation Engineering, Part B: Pavements 144 (2), 04018006, 2018 | 18 | 2018 |
| Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing J Huyan, W Li, S Tighe, L Xiao, Z Sun, N Shao Engineering Applications of Artificial Intelligence 89, 103376, 2020 | 17 | 2020 |
| Pixel-level pavement crack detection using enhanced high-resolution semantic network Z Xu, Z Sun, J Huyan, W Li, F Wang International Journal of Pavement Engineering 23 (14), 4943-4957, 2022 | 16 | 2022 |
| Evaluating angularity of coarse aggregates using the virtual cutting method based on 3D point cloud images H Liu, Z Sun, W Li, J Huyan, M Guo, X Hao IEEE Access 8, 143241-143255, 2020 | 16 | 2020 |
| Quantitative analysis of macrotexture of asphalt concrete pavement surface based on 3D data J Huyan, W Li, S Tighe, Z Sun, H Sun Transportation Research Record 2674 (8), 732-744, 2020 | 16 | 2020 |
| Unsupervised deep learning for road crack classification by fusing convolutional neural network and k_means clustering W Li, J Huyan, R Gao, X Hao, Y Hu, Y Zhang Journal of Transportation Engineering, Part B: Pavements 147 (4), 04021066, 2021 | 15 | 2021 |
Susan TigheProfessor, McMaster UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mcmaster.ca
