| 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 | 528 | 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 | 214 | 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 | 93 | 2022 |
| Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges J Leng, X Zhu, Z Huang, X Li, P Zheng, X Zhou, D Mourtzis, B Wang, Q Qi, ... Journal of Manufacturing Systems 73, 349-363, 2024 | 66 | 2024 |
| 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 | 47 | 2021 |
| 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 | 47 | 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 | 46 | 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 | 36 | 2024 |
| Real-time teaming of multiple reconfigurable manufacturing systems X Li, AE Bayrak, BI Epureanu, Y Koren CIRP Annals 67 (1), 437-440, 2018 | 36 | 2018 |
| Attention-based deep survival model for time series data X Li, V Krivtsov, K Arora Reliability Engineering & System Safety 217, 108033, 2022 | 32 | 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 | 30 | 2023 |
| An agile production network enabled by reconfigurable manufacturing systems BI Epureanu, X Li, A Nassehi, Y Koren CIRP Annals 70 (1), 403-406, 2021 | 26 | 2021 |
| 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 | 25 | 2022 |
| Human-centric manufacturing for human-system coevolution in Industry 5.0 X Li, A Nassehi, B Wang, SJ Hu, BI Epureanu CIRP Annals 72 (1), 393-396, 2023 | 24 | 2023 |
| 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 | 23 | 2020 |
| 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 | 22 | 2020 |
| Stochastic model predictive control for remanufacturing system management X Li, N Li, I Kolmanovsky, BI Epureanu Journal of Manufacturing Systems 59, 355-366, 2021 | 20 | 2021 |
| Degradation-aware decision making in reconfigurable manufacturing systems X Li, A Nassehi, BI Epureanu CIRP Annals 68 (1), 431-434, 2019 | 19 | 2019 |
| Greentelligence: smart manufacturing for a greener future X Li, B Wang, T Peng, X Xu Chinese Journal of Mechanical Engineering 34, 1-6, 2021 | 18 | 2021 |
Baicun WangProf. at Zhejiang University, Postdoc at Uni. of MichiganE-mail megerősítve itt: zju.edu.cn
Bogdan I. EpureanuProfessor, University of Michigan - Ann ArborE-mail megerősítve itt: umich.eduLihui WangChair Professor of Sustainable Manufacturing, KTHE-mail megerősítve itt: kth.se
Pai Zheng (郑湃)Associate Professor@The Hong Kong Polytechnic UniversityE-mail megerősítve itt: polyu.edu.hk
Aydin NassehiSchool of Electrical, Electronic and Mechanical EngineeringE-mail megerősítve itt: bristol.ac.uk
D. MourtzisProfessor, Lab. for Manufacturing Systems and Automation (LMS), University of PatrasE-mail megerősítve itt: lms.mech.upatras.gr
Yoram KorenDistinguished University Professor of ManufacturingE-mail megerősítve itt: umich.edu
Thorsten WuestProfessor at The University of South Carolina MEE-mail megerősítve itt: mailbox.sc.edu
Dmitry IvanovBerlin School of Economics and LawE-mail megerősítve itt: hwr-berlin.de
Vasiliy V. KrivtsovHenry Ford Technical Fellow, Ford Motor CompanyE-mail megerősítve itt: ford.com
Jiewu Leng(冷杰武)Guangdong University of TechnologyE-mail megerősítve itt: gdut.edu.cn
Alexandre DolguiProfessor of Industrial and Systems Engineering, Fellow of IISE, IMT Atlantique, FranceE-mail megerősítve itt: imt-atlantique.fr
Robert X. GaoCase Western Reserve UniversityE-mail megerősítve itt: case.edu
Xun XuProfessor of Manufacturing, University of AucklandE-mail megerősítve itt: aucklanduni.ac.nz
Wei YePurdue UniversityE-mail megerősítve itt: purdue.edu
John W. SutherlandEnvironmental and Ecological Engineering, Purdue UniversityE-mail megerősítve itt: purdue.edu
S. Jack Hu, Ph.D.Provost and UGA Foundation Distinguished Professor, University of GeorgiaE-mail megerősítve itt: uga.edu