| Reconfigurable manufacturing systems: Principles, design, and future trends Y Koren, X Gu, W Guo Frontiers of Mechanical Engineering 13, 121-136, 2018 | 486 | 2018 |
| Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm S Guo, M Agarwal, C Cooper, Q Tian, RX Gao, WG Grace, YB Guo Journal of Manufacturing Systems 62, 145-163, 2022 | 202 | 2022 |
| Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning X Zhou, P Wu, H Zhang, W Guo, Y Liu IEEE Access 7, 165262-165278, 2019 | 146 | 2019 |
| An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box” J Pasha, MA Dulebenets, M Kavoosi, OF Abioye, H Wang, W Guo IEEE Access 8, 134743-134763, 2020 | 121 | 2020 |
| Deep learning-based data fusion method for in situ porosity detection in laser-based additive manufacturing Q Tian, S Guo, E Melder, L Bian, WG Guo Journal of Manufacturing Science and Engineering 143 (4), 041011, 2021 | 110 | 2021 |
| A physics-driven deep learning model for process-porosity causal relationship and porosity prediction with interpretability in laser metal deposition WG Guo, Q Tian, S Guo, Y Guo CIRP Annals - Manufacturing Technology 69 (1), 205-208, 2020 | 71 | 2020 |
| Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods W Guo, C Shao, TH Kim, SJ Hu, JJ Jin, JP Spicer, H Wang Journal of Manufacturing Systems 38, 141-150, 2016 | 71 | 2016 |
| Choosing the system configuration for high-volume manufacturing Y Koren, X Gu, W Guo International Journal of Production Research 56 (1-2), 476-490, 2018 | 67 | 2018 |
| StressNet-Deep learning to predict stress with fracture propagation in brittle materials Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ... Npj Materials Degradation 5 (1), 6, 2021 | 64 | 2021 |
| Holistic tactical-level planning in liner shipping: An exact optimization approach J Pasha, MA Dulebenets, M Kavoosi, OF Abioye, O Theophilus, H Wang, ... Journal of Shipping and Trade 5, 1-35, 2020 | 64 | 2020 |
| Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles S Ma, W Guo, R Song, Y Liu Neurocomputing 420, 227-245, 2021 | 57 | 2021 |
| Effect of interfacial preheating on welded joints during ultrasonic composite welding K Wang, Y Li, M Banu, J Li, W Guo, H Khan Journal of Materials Processing Technology 246, 116-122, 2017 | 56 | 2017 |
| Reconfiguration of manufacturing supply chains considering outsourcing decisions and supply chain risks Q Tian, W Guo Journal of Manufacturing Systems 52, 217-226, 2019 | 48 | 2019 |
| Allocation of maintenance resources in mixed model assembly systems W Guo, JJ Jin, SJ Hu Journal of Manufacturing Systems 32 (3), 473-479, 2013 | 46 | 2013 |
| Hybrid simulation models for spare parts supply chain considering 3D printing capabilities X Xu, MD Rodgers, WG Guo Journal of Manufacturing Systems 59, 272-282, 2021 | 44 | 2021 |
| Profile monitoring and fault diagnosis via sensor fusion for ultrasonic welding W Guo, J Jin, S Jack Hu Journal of Manufacturing Science and Engineering 141 (8), 081001, 2019 | 38 | 2019 |
| Leveraging simulated and empirical data-driven insight to supervised-learning for porosity prediction in laser metal deposition V Gawade, V Singh, WG Guo Journal of Manufacturing Systems 62, 875-885, 2022 | 37 | 2022 |
| Performance evaluation for manufacturing systems under control-limit maintenance policy X Gu, W Guo, X Jin Journal of Manufacturing Systems 55, 221-232, 2020 | 37 | 2020 |
| Effect of Mg doping on magnetic induction heating of Zn–Co ferrite nanoparticles R Yang, X Yu, H Li, C Wang, C Wu, W Zhang, W Guo Journal of Alloys and Compounds 851, 156907, 2021 | 36 | 2021 |
| A graph-based cost model for supply chain reconfiguration W Guo, Q Tian, Z Jiang, H Wang Journal of manufacturing systems 48, 55-63, 2018 | 35 | 2018 |
Xi GuRutgers, The State University of New JerseyE-mail confirmado em rutgers.edu