| Coordinated monitoring and control method of deposited layer width and reinforcement in WAAM process Y Wang, X Xu, Z Zhao, W Deng, J Han, L Bai, X Liang, J Yao Journal of Manufacturing Processes 71, 306-316, 2021 | 40 | 2021 |
| Quality monitoring in wire-arc additive manufacturing based on cooperative awareness of spectrum and vision Z Zhao, Y Guo, L Bai, K Wang, J Han Optik 181, 351-360, 2019 | 39 | 2019 |
| 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 | 38 | 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 | 31 | 2020 |
| Optimal imaging band selection mechanism of weld pool vision based on spectrum analysis Z Zhao, L Deng, L Bai, Y Zhang, J Han Optics & Laser Technology 110, 145-151, 2019 | 28 | 2019 |
| Additive seam tracking technology based on laser vision Z Zhao, J Luo, Y Wang, L Bai, J Han The International Journal of Advanced Manufacturing Technology 116 (1), 197-211, 2021 | 24 | 2021 |
| 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 |
| Identification of butt welded joint penetration based on infrared thermal imaging R Yu, J Han, L Bai, Z Zhao Journal of Materials Research and Technology 12, 1486-1495, 2021 | 21 | 2021 |
| 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 | 19 | 2021 |
| Online weld pool contour extraction and seam width prediction based on mixing spectral vision Y Zhang, Z Zhao, Y Zhang, L Bai, K Wang, J Han Optical review 26, 65-76, 2019 | 16 | 2019 |
| Real-time prediction of welding penetration mode and depth based on visual characteristics of weld pool in GMAW process R Yu, J Han, Z Zhao, L Bai IEEE Access 8, 81564-81573, 2020 | 14 | 2020 |
| 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 | 13 | 2020 |
| The 3D narrow butt weld seam detection system based on the binocular consistency correction X Wang, T Chen, Y Wang, D Zheng, X Chen, Z Zhao Journal of Intelligent Manufacturing 34 (5), 2321-2332, 2023 | 11 | 2023 |
| 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 |
| 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 | 10 | 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 | 10 | 2021 |
| Visual texture-based 3-D roughness measurement for additive manufacturing surfaces H Yu, C Peng, Z Zhao, L Bai, J Han Ieee Access 7, 186646-186656, 2019 | 10 | 2019 |
| High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding Z Zhao, L Bai, J Han, J Yue Optics Communications 453, 124322, 2019 | 9 | 2019 |
| 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 | 8 | 2023 |
| 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 |
Jing HanNanjing university of science and technology在 njust.edu.cn 的电子邮件经过验证
