| Long short-term memory for machine remaining life prediction J Zhang, P Wang, R Yan, RX Gao Journal of manufacturing systems 48, 78-86, 2018 | 396 | 2018 |
| Machine learning-based image processing for on-line defect recognition in additive manufacturing A Caggiano, J Zhang, V Alfieri, F Caiazzo, R Gao, R Teti CIRP annals 68 (1), 451-454, 2019 | 358 | 2019 |
| Artificial intelligence in advanced manufacturing: Current status and future outlook JF Arinez, Q Chang, RX Gao, C Xu, J Zhang Journal of Manufacturing Science and Engineering 142 (11), 110804, 2020 | 300 | 2020 |
| Deep learning-based tensile strength prediction in fused deposition modeling J Zhang, P Wang, RX Gao Computers in industry 107, 11-21, 2019 | 141 | 2019 |
| Recurrent neural network for motion trajectory prediction in human-robot collaborative assembly J Zhang, H Liu, Q Chang, L Wang, RX Gao CIRP annals 69 (1), 9-12, 2020 | 129 | 2020 |
| Interpretable convolutional neural network through layer-wise relevance propagation for machine fault diagnosis J Grezmak, J Zhang, P Wang, KA Loparo, RX Gao IEEE Sensors Journal 20 (6), 3172-3181, 2019 | 99 | 2019 |
| Transferable two-stream convolutional neural network for human action recognition Q Xiong, J Zhang, P Wang, D Liu, RX Gao Journal of Manufacturing Systems 56, 605-614, 2020 | 94 | 2020 |
| Deep learning for improved system remaining life prediction J Zhang, P Wang, R Yan, RX Gao Procedia Cirp 72, 1033-1038, 2018 | 77 | 2018 |
| Hybrid machine learning for human action recognition and prediction in assembly J Zhang, P Wang, RX Gao Robotics and Computer-Integrated Manufacturing 72, 102184, 2021 | 56 | 2021 |
| Convolutional neural network-based tool condition monitoring in vertical milling operations using acoustic signals C Cooper, P Wang, J Zhang, RX Gao, T Roney, I Ragai, D Shaffer Procedia Manufacturing 49, 105-111, 2020 | 41 | 2020 |
| Deep learning-driven data curation and model interpretation for smart manufacturing J Zhang, RX Gao Chinese Journal of Mechanical Engineering 34, 1-21, 2021 | 34 | 2021 |
| Anomaly detection in milling tools using acoustic signals and generative adversarial networks C Cooper, J Zhang, RX Gao, P Wang, I Ragai Procedia Manufacturing 48, 372-378, 2020 | 28 | 2020 |
| Modeling of layer-wise additive manufacturing for part quality prediction J Zhang, P Wang, RX Gao Procedia Manufacturing 16, 155-162, 2018 | 23 | 2018 |
| Roadmap on signal processing for next generation measurement systems DK Iakovidis, M Ooi, YC Kuang, S Demidenko, A Shestakov, V Sinitsin, ... Measurement Science and Technology 33 (1), 012002, 2021 | 18 | 2021 |
| Attention mechanism-incorporated deep learning for AM part quality prediction J Zhang, P Wang, RX Gao Procedia CIRP 93, 96-101, 2020 | 15 | 2020 |
| An image processing approach to machine fault diagnosis based on visual words representation J Zhang, P Wang, RX Gao, R Yan Procedia Manufacturing 19, 42-49, 2018 | 15 | 2018 |
| Multi-stream convolutional neural network-based fault diagnosis for variable frequency drives in sustainable manufacturing systems J Grezmak, J Zhang, P Wang, RX Gao Procedia Manufacturing 43, 511-518, 2020 | 13 | 2020 |
| Physics-guided Gaussian process for HVAC system performance prognosis J Zhang, C Liu, RX Gao Mechanical Systems and Signal Processing 179, 109336, 2022 | 10 | 2022 |
| Integrated process-system modelling and control through graph neural network and reinforcement learning J Huang, J Zhang, Q Chang, RX Gao CIRP Annals 70 (1), 377-380, 2021 | 10 | 2021 |
| Induction Motor Condition Monitoring for Sustainable Manufacturing J Zhang, P Wang, RX Gao, C Sun, R Yan Procedia Manufacturing 33, 802-809, 2019 | 9 | 2019 |
