| A review on state-of-the-art power line inspection techniques L Yang, J Fan, Y Liu, E Li, J Peng, Z Liang IEEE Transactions on Instrumentation and Measurement 69 (12), 9350-9365, 2020 | 168 | 2020 |
| A novel system for off-line 3D seam extraction and path planning based on point cloud segmentation for arc welding robot L Yang, Y Liu, J Peng, Z Liang Robotics and Computer-Integrated Manufacturing 64, 101929, 2020 | 108 | 2020 |
| An automatic welding defect location algorithm based on deep learning L Yang, H Wang, B Huo, F Li, Y Liu Ndt & E International 120, 102435, 2021 | 87 | 2021 |
| A hybrid deep segmentation network for fundus vessels via deep-learning framework L Yang, H Wang, Q Zeng, Y Liu, G Bian Neurocomputing 448, 168-178, 2021 | 85 | 2021 |
| A novel 3-D path extraction method for arc welding robot based on stereo structured light sensor L Yang, E Li, T Long, J Fan, Z Liang IEEE Sensors Journal 19 (2), 763-773, 2018 | 69 | 2018 |
| ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images Y Liu, J Shen, L Yang, G Bian, H Yu Biomedical Signal Processing and Control 79, 104087, 2023 | 68 | 2023 |
| A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm L Yang, E Li, T Long, J Fan, Y Mao, Z Fang, Z Liang The International Journal of Advanced Manufacturing Technology 94, 1209-1220, 2018 | 65 | 2018 |
| Advances techniques of the structured light sensing in intelligent welding robots: a review L Yang, Y Liu, J Peng The International Journal of Advanced Manufacturing Technology 110 (3), 1027 …, 2020 | 63 | 2020 |
| An initial point alignment and seam-tracking system for narrow weld J Fan, S Deng, F Jing, C Zhou, L Yang, T Long, M Tan IEEE Transactions on Industrial Informatics 16 (2), 877-886, 2019 | 60 | 2019 |
| A precise seam tracking method for narrow butt seams based on structured light vision sensor J Fan, F Jing, L Yang, T Long, M Tan Optics & Laser Technology 109, 616-626, 2019 | 59 | 2019 |
| A precise initial weld point guiding method of micro-gap weld based on structured light vision sensor J Fan, F Jing, L Yang, L Teng, M Tan IEEE Sensors Journal 19 (1), 322-331, 2018 | 58 | 2018 |
| Automatic detection and location of weld beads with deep convolutional neural networks L Yang, J Fan, Y Liu, E Li, J Peng, Z Liang IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 57 | 2020 |
| A nondestructive automatic defect detection method with pixelwise segmentation L Yang, J Fan, B Huo, E Li, Y Liu Knowledge-Based Systems 242, 108338, 2022 | 51 | 2022 |
| A vibration control method for hybrid-structured flexible manipulator based on sliding mode control and reinforcement learning T Long, E Li, Y Hu, L Yang, J Fan, Z Liang, R Guo IEEE transactions on neural networks and learning systems 32 (2), 841-852, 2020 | 45 | 2020 |
| An automatic deep segmentation network for pixel-level welding defect detection L Yang, S Song, J Fan, B Huo, E Li, Y Liu IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2021 | 44 | 2021 |
| A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot: A review L Yang, E Li, T Long, J Fan, Z Liang IEEE Sensors Journal 18 (21), 8631-8641, 2018 | 40 | 2018 |
| Image denoising of seam images with deep learning for laser vision seam tracking L Yang, J Fan, B Huo, E Li, Y Liu IEEE Sensors Journal 22 (6), 6098-6107, 2022 | 33 | 2022 |
| An automatic detection and identification method of welded joints based on deep neural network L Yang, Y Liu, J Peng IEEE Access 7, 164952-164961, 2019 | 30 | 2019 |
| GDF-Net: A multi-task symmetrical network for retinal vessel segmentation J Li, G Gao, L Yang, Y Liu Biomedical Signal Processing and Control 81, 104426, 2023 | 27 | 2023 |
| Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images Y Liu, J Shen, L Yang, H Yu, G Bian Computers in Biology and Medicine 152, 106341, 2023 | 27 | 2023 |
Junfeng FanInstitute of Automation, Chinese Academy of SciencesVerified email at ia.ac.cn
