| Active disturbance rejection control of layer width in wire arc additive manufacturing based on deep learning Y Wang, J Lu, Z Zhao, W Deng, J Han, L Bai, X Yang, J Yao Journal of Manufacturing Processes 67, 364-375, 2021 | 37 | 2021 |
| Weld reinforcement analysis based on long-term prediction of molten pool image in additive manufacturing Y Wang, C Zhang, J Lu, L Bai, Z Zhao, J Han IEEE Access 8, 69908-69918, 2020 | 29 | 2020 |
| Multimodal-based weld reinforcement monitoring system for wire arc additive manufacturing B Shen, J Lu, Y Wang, D Chen, J Han, Y Zhang, Z Zhao Journal of Materials Research and Technology 20, 561-571, 2022 | 21 | 2022 |
| Quantitative prediction for weld reinforcement in arc welding additive manufacturing based on molten pool image and deep residual network J Lu, H He, Y Shi, L Bai, Z Zhao, J Han Additive Manufacturing 41, 101980, 2021 | 18 | 2021 |
| Dual camera snapshot hyperspectral imaging system via physics-informed learning H Xie, Z Zhao, J Han, Y Zhang, L Bai, J Lu Optics and Lasers in Engineering 154, 107023, 2022 | 11 | 2022 |
| Collaborative and quantitative prediction for reinforcement and penetration depth of weld bead based on molten pool image and deep residual network J Lu, Y Shi, L Bai, Z Zhao, J Han IEEE Access 8, 126138-126148, 2020 | 11 | 2020 |
| Monitoring of back bead penetration based on temperature sensing and deep learning R Yu, H He, J Han, L Bai, Z Zhao, J Lu Measurement 188, 110410, 2022 | 9 | 2022 |
| Quantitative prediction of additive manufacturing deposited layer offset based on passive visual imaging and deep residual network H He, J Lu, Y Zhang, J Han, Z Zhao Journal of Manufacturing Processes 72, 195-202, 2021 | 9 | 2021 |
| TIG stainless steel molten pool contour detection and weld width prediction based on Res-Seg Y Wang, J Han, J Lu, L Bai, Z Zhao Metals 10 (11), 1495, 2020 | 8 | 2020 |
| Online welding quality diagnosis based on molten pool behavior prediction J Lu, H Xie, X Chen, J Han, L Bai, Z Zhao Optics & Laser Technology 126, 106126, 2020 | 8 | 2020 |
| Fourier coded aperture transform hyperspectral imaging system H Xie, J Lu, J Han, Y Zhang, F Xiong, Z Zhao Optics and Lasers in Engineering 163, 107443, 2023 | 6 | 2023 |
| Detection of reinforcement of multi-bead and multi-layer weld in additive manufacturing based on on-line visual information of weld pool J Lu, Y Zhao, X Chen, J Han, Z Zhao Journal of Materials Research and Technology 23, 4678-4690, 2023 | 6 | 2023 |
| A seam tracking method based on an image segmentation deep convolutional neural network J Lu, A Yang, X Chen, X Xu, R Lv, Z Zhao Metals 12 (8), 1365, 2022 | 6 | 2022 |
| Real-time segmentation network for accurate weld detection in large weldments Z Wu, P Gao, J Han, L Bai, J Lu, Z Zhao Engineering Applications of Artificial Intelligence 117, 105008, 2023 | 5 | 2023 |
| Hump weld bead monitoring based on transient temperature field of molten pool J Lu, Z Zhao, J Han, L Bai Optik 208, 164031, 2020 | 4 | 2020 |
| Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data P Gao, Z Wu, Y Wang, J Lu, Z Zhao Journal of Intelligent Manufacturing 35 (3), 1247-1265, 2024 | 3 | 2024 |
| Infrared-visible image fusion based on semantic guidance and visual perception X Chen, Z Teng, Y Liu, J Lu, L Bai, J Han Entropy 24 (10), 1327, 2022 | 3 | 2022 |
| Rapid hyperspectral imaging system via sub-sampling coding B Wei, Z Zhao, J Han, J Lu, H Qi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 3 | 2022 |
| Plate additive, seam-tracking technology based on feature segmentation J Lu, J Zhang, J Luo, A Yang, J Han, Z Zhao Optics & Laser Technology 168, 109848, 2024 | 2 | 2024 |
| Molten pool contour extraction method based on edge oriented operator template matching C ZHANG, Z ZHAO, J LU, L BAI, J HAN Transactions of The China Welding Institution 43 (2), 67-74, 2022 | 1 | 2022 |
