| A categorical framework of manufacturing for industry 4.0 and beyond J Qin, Y Liu, R Grosvenor Procedia cirp 52, 173-178, 2016 | 1756 | 2016 |
| Research and application of machine learning for additive manufacturing J Qin, F Hu, Y Liu, P Witherell, CCL Wang, DW Rosen, TW Simpson, Y Lu, ... Additive Manufacturing 52, 102691, 2022 | 323 | 2022 |
| A review of WAAM for steel construction–Manufacturing, material and geometric properties, design, and future directions SI Evans, J Wang, J Qin, Y He, P Shepherd, J Ding Structures 44, 1506-1522, 2022 | 103 | 2022 |
| A framework of energy consumption modelling for additive manufacturing using internet of things J Qin, Y Liu, R Grosvenor Procedia Cirp 63, 307-312, 2017 | 73 | 2017 |
| Energy consumption modelling using deep learning embedded semi-supervised learning C Chen, Y Liu, M Kumar, J Qin, Y Ren Computers & Industrial Engineering 135, 757-765, 2019 | 71 | 2019 |
| Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation J Qin, Y Liu, R Grosvenor, F Lacan, Z Jiang Journal of Cleaner Production 245, 118702, 2020 | 67 | 2020 |
| Energy consumption modelling using deep learning technique—a case study of EAF C Chen, Y Liu, M Kumar, J Qin Procedia CIRP 72, 1063-1068, 2018 | 62 | 2018 |
| Multi-source data analytics for AM energy consumption prediction J Qin, Y Liu, R Grosvenor Advanced Engineering Informatics 38, 840-850, 2018 | 50 | 2018 |
| Design optimization of laminated composite structures using artificial neural network and genetic algorithm X Liu, J Qin, K Zhao, CA Featherston, D Kennedy, Y Jing, G Yang Composite Structures 305, 116500, 2023 | 45 | 2023 |
| Data analytics for energy consumption of digital manufacturing systems using Internet of Things method J Qin, Y Liu, R Grosvenor 2017 13th IEEE conference on automation science and engineering (CASE), 482-487, 2017 | 41 | 2017 |
| Spatial attention-based convolutional transformer for bearing remaining useful life prediction C Chen, T Wang, Y Liu, L Cheng, J Qin Measurement Science and Technology 33 (11), 114001, 2022 | 28 | 2022 |
| Fault diagnosis of industrial robot based on dual-module attention convolutional neural network K Lu, C Chen, T Wang, L Cheng, J Qin Autonomous Intelligent Systems 2 (1), 12, 2022 | 25 | 2022 |
| Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN—concept, framework and case studies J Qin, Z Li, R Wang, L Li, Z Yu, X He, Y Liu CCF Transactions on Pervasive Computing and Interaction 3 (1), 25-39, 2021 | 21 | 2021 |
| A novel cold wire gas metal arc (CW-GMA) process for high productivity additive manufacturing C Wang, J Wang, J Bento, J Ding, G Pardal, G Chen, J Qin, W Suder, ... Additive Manufacturing 73, 103681, 2023 | 20 | 2023 |
| Refining microstructure of medium-thick AA2219 aluminium alloy welded joint by ultrasonic frequency double-pulsed arc Y Wang, H Li, Z Li, Y Zhang, J Qin, G Chen, B Qi, C Zeng, B Cong journal of materials research and technology 23, 3048-3061, 2023 | 20 | 2023 |
| Optimal droplet transfer mode maintenance for wire+ arc additive manufacturing (WAAM) based on deep learning J Qin, Y Wang, J Ding, S Williams Journal of Intelligent Manufacturing 33 (7), 2179-2191, 2022 | 19 | 2022 |
| A hybrid machine learning approach for energy consumption prediction in additive manufacturing Y Li, F Hu, J Qin, M Ryan, R Wang, Y Liu Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 11 | 2021 |
| A machine learning-based approach for elevator door system fault diagnosis T Liang, C Chen, T Wang, A Zhang, J Qin 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 10 | 2022 |
| A review of WAAM for steel construction–manufacturing, material and geometric properties, design, and future directions. Structures 44: 1506–1522 SI Evans, J Wang, J Qin, Y He, P Shepherd, J Ding | 10 | 2022 |
| Feature-level data fusion for energy consumption analytics in additive manufacturing F Hu, Y Liu, J Qin, X Sun, P Witherell 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 8 | 2020 |
