| 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 | 195 | 2020 |
| 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 | 74 | 2018 |
| Automatic recognition system of welding seam type based on SVM method J Fan, F Jing, Z Fang, M Tan The International Journal of Advanced Manufacturing Technology 92, 989-999, 2017 | 67 | 2017 |
| 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 |
| 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 | 62 | 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 | 62 | 2019 |
| 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 | 61 | 2020 |
| 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 | 60 | 2018 |
| 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 | 58 | 2022 |
| A structured light vision sensor for on-line weld bead measurement and weld quality inspection Y Han, J Fan, X Yang The International Journal of Advanced Manufacturing Technology 106, 2065-2078, 2020 | 58 | 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 | 49 | 2021 |
| 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 | 48 | 2020 |
| 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 | 39 | 2022 |
| An efficient calibration method of line structured light vision sensor in robotic eye-in-hand system Z Wang, J Fan, F Jing, S Deng, M Zheng, M Tan IEEE Sensors Journal 20 (11), 6200-6208, 2020 | 35 | 2020 |
| A simple calibration method of structured light plane parameters for welding robots J Fan, F Jing, Z Fang, Z Liang 2016 35th Chinese Control Conference (CCC), 6127-6132, 2016 | 30 | 2016 |
| Vision-based power line segmentation with an attention fusion network L Yang, J Fan, S Xu, E Li, Y Liu IEEE Sensors Journal 22 (8), 8196-8205, 2022 | 29 | 2022 |
| Efficient and accurate start point guiding and seam tracking method for curve weld based on structure light Y Ma, J Fan, S Deng, Y Luo, X Ma, F Jing, M Tan IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 29 | 2021 |
| Seam feature point acquisition based on efficient convolution operator and particle filter in GMAW J Fan, S Deng, Y Ma, C Zhou, F Jing, M Tan IEEE Transactions on industrial informatics 17 (2), 1220-1230, 2020 | 29 | 2020 |
| Inspection of welding defect based on multi-feature fusion and a convolutional network L Yang, J Fan, B Huo, Y Liu Journal of Nondestructive Evaluation 40, 1-11, 2021 | 28 | 2021 |
Lei YangZhengzhou University在 zzu.edu.cn 的电子邮件经过验证
