Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution S Huang, B Wang, X Li, P Zheng, D Mourtzis, L Wang Journal of manufacturing systems 64, 424-428, 2022 | 333 | 2022 |
Human Digital Twin in the context of Industry 5.0 B Wang, H Zhou, X Li, G Yang, P Zheng, C Song, Y Yuan, T Wuest, ... Robotics and Computer-Integrated Manufacturing 85, 102626, 2024 | 71 | 2024 |
Human digital twin (HDT) driven human-cyber-physical systems: Key technologies and applications B Wang, H Zhou, G Yang, X Li, H Yang Chinese Journal of Mechanical Engineering 35 (1), 11, 2022 | 69 | 2022 |
Intelligent manufacturing systems in COVID-19 pandemic and beyond: framework and impact assessment X Li, B Wang, C Liu, T Freiheit, BI Epureanu Chinese Journal of Mechanical Engineering 33, 1-5, 2020 | 58 | 2020 |
Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics X Li, A Ghadami, JM Drake, P Rohani, BI Epureanu Scientific Reports 11 (1), 15450, 2021 | 41 | 2021 |
Self-repair of smart manufacturing systems by deep reinforcement learning BI Epureanu, X Li, A Nassehi, Y Koren CIRP Annals 69 (1), 421-424, 2020 | 41 | 2020 |
Early event detection in a deep-learning driven quality prediction model for ultrasonic welding B Wang, Y Li, Y Luo, X Li, T Freiheit Journal of Manufacturing Systems 60, 325-336, 2021 | 32 | 2021 |
Real-time teaming of multiple reconfigurable manufacturing systems X Li, AE Bayrak, BI Epureanu, Y Koren CIRP Annals 67 (1), 437-440, 2018 | 32 | 2018 |
Attention-based deep survival model for time series data X Li, V Krivtsov, K Arora Reliability Engineering & System Safety 217, 108033, 2022 | 27 | 2022 |
An agile production network enabled by reconfigurable manufacturing systems BI Epureanu, X Li, A Nassehi, Y Koren CIRP Annals 70 (1), 403-406, 2021 | 23 | 2021 |
Learning and intelligence in human-cyber-physical systems: framework and perspective B Wang, X Li, T Freiheit, BI Epureanu 2020 Second International Conference on Transdisciplinary AI (TransAI), 142-145, 2020 | 21 | 2020 |
A network-of-networks adaptation for cross-industry manufacturing repurposing A Dolgui, O Gusikhin, D Ivanov, X Li, K Stecke IISE Transactions 56 (6), 666-682, 2024 | 20 | 2024 |
Review of machine learning technologies and artificial intelligence in modern manufacturing systems A Nassehi, RY Zhong, X Li, BI Epureanu Design and operation of production networks for mass personalization in the …, 2022 | 20 | 2022 |
An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration H Zhou, G Yang, B Wang, X Li, R Wang, X Huang, H Wu, XV Wang Journal of Manufacturing Systems 67, 97-110, 2023 | 16 | 2023 |
Stochastic model predictive control for remanufacturing system management X Li, N Li, I Kolmanovsky, BI Epureanu Journal of Manufacturing Systems 59, 355-366, 2021 | 16 | 2021 |
AI-based competition of autonomous vehicle fleets with application to fleet modularity X Li, BI Epureanu European journal of operational research 287 (3), 856-874, 2020 | 16 | 2020 |
Degradation-aware decision making in reconfigurable manufacturing systems X Li, A Nassehi, BI Epureanu CIRP Annals 68 (1), 431-434, 2019 | 16 | 2019 |
An agent-based approach to optimizing modular vehicle fleet operation X Li, BI Epureanu International Journal of Production Economics 228, 107733, 2020 | 15 | 2020 |
A system-of-systems approach to the strategic feasibility of modular vehicle fleets AE Bayrak, MM Egilmez, H Kuang, X Li, JM Park, E Umpfenbach, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2716-2728, 2018 | 15 | 2018 |
Robustness and adaptability analysis of future military modular fleet operation system X Li, BI Epureanu Dynamic Systems and Control Conference 58288, V002T05A003, 2017 | 11 | 2017 |