| Hybrid deep learning architecture for rail surface segmentation and surface defect detection Y Wu, Y Qin, Y Qian, F Guo, Z Wang, L Jia Computer‐Aided Civil and Infrastructure Engineering 37 (2), 227-244, 2022 | 105 | 2022 |
| A UAV-based visual inspection method for rail surface defects Y Wu, Y Qin, Z Wang, L Jia Applied sciences 8 (7), 1028, 2018 | 102 | 2018 |
| Automatic railroad track components inspection using real‐time instance segmentation F Guo, Y Qian, Y Wu, Z Leng, H Yu Computer‐Aided Civil and Infrastructure Engineering 36 (3), 362-377, 2021 | 91 | 2021 |
| Densely pyramidal residual network for UAV-based railway images dehazing Y Wu, Y Qin, Z Wang, X Ma, Z Cao Neurocomputing 371, 124-136, 2020 | 40 | 2020 |
| Automatic detection of arbitrarily oriented fastener defect in high-speed railway Y Wu, Y Qin, Y Qian, F Guo Automation in Construction 131, 103913, 2021 | 36 | 2021 |
| UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation Y Wu, F Meng, Y Qin, Y Qian, F Xu, L Jia Advanced Engineering Informatics 55, 101819, 2023 | 29 | 2023 |
| Automatic railroad track components inspection using hybrid deep learning framework Y Wu, P Chen, Y Qin, Y Qian, F Xu, L Jia IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2023 | 21 | 2023 |
| Research on rail surface defect detection method based on UAV images Y Wu, Y Qin, L Jia 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 18 | 2018 |
| Research on active safety methodologies for intelligent railway systems Y Qin, Z Cao, Y Sun, L Kou, X Zhao, Y Wu, Q Liu, M Wang, L Jia Engineering, 2022 | 16 | 2022 |
| An improved faster R-CNN for UAV-based catenary support device inspection J Liu, Z Wang, Y Wu, Y Qin, X Cao, Y Huang International Journal of Software Engineering and Knowledge Engineering 30 …, 2020 | 14 | 2020 |
| Skip connection YOLO architecture for noise barrier defect detection using UAV-based images in high-speed railway J Cui, Y Qin, Y Wu, C Shao, H Yang IEEE Transactions on Intelligent Transportation Systems, 2023 | 12 | 2023 |
| Defect detection for bird-preventing and fasteners on the catenary support device using improved faster R-CNN J Liu, Y Wu, Y Qin, H Xu, Z Zhao Proceedings of the 4th International Conference on Electrical and …, 2020 | 12 | 2020 |
| Rail fastener defect inspection based on UAV images: A comparative study P Chen, Y Wu, Y Qin, H Yang, Y Huang Proceedings of the 4th International Conference on Electrical and …, 2020 | 12 | 2020 |
| Defect detection for catenary sling based on image processing and deep learning method J Cui, Y Wu, Y Qin, R Hou Proceedings of the 4th International Conference on Electrical and …, 2020 | 9 | 2020 |
| Railway comprehensive monitoring and warning system framework based on space-air-vehicle-ground integration network J Yang, X Cheng, Y Wu, Y Qin, L Jia 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 5 | 2018 |
| Adaptive cropping shallow attention network for defect detection of bridge girder steel using unmanned aerial vehicle images Z Mu, Y Qin, C Yu, Y Wu, Z Wang, H Yang, Y Huang Journal of Zhejiang University-SCIENCE A 24 (3), 243-256, 2023 | 4 | 2023 |
| All-in-one YOLO architecture for safety hazard detection of environment along high-speed railway P Chen, Y Wu, Y Qin, H Yang 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai), 1-7, 2022 | 2 | 2022 |
| A subtle defect recognition method for catenary fastener in high-speed railroad using destruction and reconstruction learning F Meng, Y Qin, Y Wu, C Shao, L Jia Advanced Engineering Informatics 60, 102393, 2024 | 1 | 2024 |
| Research on the Segmentation and Extraction of Scenes Along Railway Lines Based on Remote Sensing Images of UAVs L Tong, L Jia, Z Wang, Y Wu, N Wang Proceedings of the 4th International Conference on Electrical and …, 2020 | 1 | 2020 |
| Railway snowfall status evaluation based on single image J Yang, Y Wu, Y Qing, X Chen, L Jia Journal of Applied Science and Engineering 22 (3), 509-520, 2019 | 1 | 2019 |
