| Deep Learning for Smart Manufacturing: Methods and Applications J Wang, Y Ma, L Zhang, R Gao, D Wu Journal of Manufacturing Systems, 2018 | 1794 | 2018 |
| Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation D Wu, DW Rosen, L Wang, D Schaefer Computer-Aided Design, 2015 | 843 | 2015 |
| Cloud Manufacturing: Strategic Vision and State-of-the-Art D Wu, M Greer, DW Rosen, D Schaefer Journal of Manufacturing Systems, 2013 | 755 | 2013 |
| A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests D Wu, C Jennings, J Terpenny, R Gao, S Kumara Transactions of the ASME, Journal of Manufacturing Science and Engineering, 2017 | 709 | 2017 |
| Prediction of Surface Roughness in Extrusion-based Additive Manufacturing with Machine Learning Z Li, Z Zhang, J Shi, D Wu Robotics and Computer-Integrated Manufacturing, 2019 | 429 | 2019 |
| A Fog Computing-Based Framework for Process Monitoring and Prognosis in Cyber-Manufacturing D Wu, S Liu, L Zhang, J Terpenny, R Gao, T Kurfess, J Guzzo Journal of Manufacturing Systems, 2017 | 325 | 2017 |
| Towards a Cloud-Based Design and Manufacturing Paradigm: Looking Backward, Looking Forward D Wu, JL Thames, DW Rosen, D Schaefer Proceedings of the ASME 2012 International Design Engineering Technical …, 2012 | 200 | 2012 |
| Tensile and Flexural Behaviors of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites T Yu, Z Zhang, S Song, Y Bai, D Wu Composite Structures, 2019 | 198 | 2019 |
| Planetary Gearbox Fault Diagnosis Using Bidirectional-Convolutional LSTM Networks J Shi, D Peng, Z Peng, Z Zhang, K Goebel, D Wu Mechanical Systems and Signal Processing, 2022 | 192 | 2022 |
| Enhancing the Product Realization Process with Cloud-Based Design and Manufacturing Systems D Wu, L Thames, DW Rosen, D Schaefer Journal of Computing and Information Science in Engineering, 2013 | 180 | 2013 |
| Cybersecurity for Digital Manufacturing D Wu, A Ren, W Zhang, F Fan, P Liu, X Fu, J Terpenny Journal of Manufacturing Systems, 2018 | 176 | 2018 |
| An Ensemble Learning-based Prognostic Approach with Degradation-Dependent Weights for Remaining Useful Life Prediction Z Li, D Wu, C Hu, J Terpenny Reliability Engineering & System Safety, 2017 | 168 | 2017 |
| Data-Driven Smart Manufacturing: Tool Wear Monitoring with Audio Signals and Machine Learning Z Li, R Lui, D Wu Journal of Manufacturing Processes, 2019 | 162 | 2019 |
| Prediction of Melt Pool Temperature in Directed Energy Deposition Using Machine Learning Z Zhang, Z Liu, D Wu Additive Manufacturing, 2021 | 137 | 2021 |
| Cloud-Based Manufacturing: Old Wine in New Bottles? D Wu, DW Rosen, L Wang, D Schaefer Proceedings of the 47th CIRP Conference on Manufacturing Systems, 2014 | 127 | 2014 |
| Interlaminar Shear Behavior of Continuous and Short Carbon Fiber Reinforced Polymer Composites Fabricated by Additive Manufacturing D Yavas, Z Zhang, Q Liu, D Wu Composites Part B: Engineering 204, 108460, 2021 | 122 | 2021 |
| Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning Z Li, K Goebel, D Wu Transactions of the ASME, Journal of Engineering for Gas Turbines and Power, 2018 | 115 | 2018 |
| Cloud-based Machine Learning for Predictive Analytics: Tool Wear Prediction in Milling D Wu, C Jennings, J Terpenny, S Kumara Big Data (Big Data), 2016 IEEE International Conference on, 2062-2069, 2016 | 110 | 2016 |
| Cloud Manufacturing: Drivers, Current Status, and Future Trends D Wu, MJ Greer, DW Rosen, D Schaefer Proceedings of the ASME 2013 International Manufacturing Science and …, 2013 | 110 | 2013 |
| Structure-Property Relationship in High Strength and Lightweight AlSi10Mg Microlattices Fabricated by Selective Laser Melting T Yu, H Hyer, Y Sohn, Y Bai, D Wu Materials & Design, 2019 | 106 | 2019 |