Industry 5.0: Prospect and retrospect J Leng, W Sha, B Wang, P Zheng, C Zhuang, Q Liu, T Wuest, D Mourtzis, ... Journal of Manufacturing Systems 65, 279-295, 2022 | 493 | 2022 |
A digital twin-based approach for designing and multi-objective optimization of hollow glass production line H Zhang, Q Liu, X Chen, D Zhang, J Leng Ieee Access 5, 26901-26911, 2017 | 489 | 2017 |
Digital twins-based smart manufacturing system design in Industry 4.0: A review J Leng, D Wang, W Shen, X Li, Q Liu, X Chen Journal of manufacturing systems 60, 119-137, 2021 | 422 | 2021 |
Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey J Leng, G Ruan, P Jiang, K Xu, Q Liu, X Zhou, C Liu Renewable and sustainable energy reviews 132, 110112, 2020 | 414 | 2020 |
Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop J Leng, H Zhang, D Yan, Q Liu, X Chen, D Zhang Journal of ambient intelligence and humanized computing 10, 1155-1166, 2019 | 408 | 2019 |
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system Q Liu, H Zhang, J Leng, X Chen International Journal of Production Research 57 (12), 3903-3919, 2019 | 353 | 2019 |
Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model J Leng, Q Liu, S Ye, J Jing, Y Wang, C Zhang, D Zhang, X Chen Robotics and computer-integrated manufacturing 63, 101895, 2020 | 302 | 2020 |
Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: Social Manufacturing P Jiang, K Ding, J Leng Manufacturing Letters 7, 15-21, 2016 | 258 | 2016 |
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system Q Liu, J Leng, D Yan, D Zhang, L Wei, A Yu, R Zhao, H Zhang, X Chen Journal of Manufacturing Systems 58, 52-64, 2021 | 253 | 2021 |
Blockchain-secured smart manufacturing in industry 4.0: A survey J Leng, S Ye, M Zhou, JL Zhao, Q Liu, W Guo, W Cao, L Fu IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 237-252, 2020 | 243 | 2020 |
ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing J Leng, D Yan, Q Liu, K Xu, JL Zhao, R Shi, L Wei, D Zhang, X Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (1), 182-192, 2019 | 229 | 2019 |
Makerchain: A blockchain with chemical signature for self-organizing process in social manufacturing J Leng, P Jiang, K Xu, Q Liu, JL Zhao, Y Bian, R Shi Journal of Cleaner Production 234, 767-778, 2019 | 191 | 2019 |
Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system J Leng, D Yan, Q Liu, H Zhang, G Zhao, L Wei, D Zhang, A Yu, X Chen International Journal of Computer Integrated Manufacturing 34 (7-8), 783-800, 2021 | 166 | 2021 |
Blockchain security: A survey of techniques and research directions J Leng, M Zhou, JL Zhao, Y Huang, Y Bian IEEE Transactions on Services Computing 15 (4), 2490-2510, 2020 | 148 | 2020 |
A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm J Leng, P Jiang Knowledge-Based Systems 100, 188-199, 2016 | 137 | 2016 |
Social manufacturing as a sustainable paradigm for mass individualization P Jiang, J Leng, K Ding, P Gu, Y Koren Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2016 | 125 | 2016 |
Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems J Leng, M Zhou, Y Xiao, H Zhang, Q Liu, W Shen, Q Su, L Li Journal of Cleaner Production 306, 127278, 2021 | 122 | 2021 |
Combining granular computing technique with deep learning for service planning under social manufacturing contexts J Leng, Q Chen, N Mao, P Jiang Knowledge-Based Systems 143, 295-306, 2018 | 107 | 2018 |
Digital twin-driven cyber-physical system for autonomously controlling of micro punching system R Zhao, D Yan, Q Liu, J Leng, J Wan, X Chen, X Zhang IEEE access 7, 9459-9469, 2019 | 95 | 2019 |
A loosely-coupled deep reinforcement learning approach for order acceptance decision of mass-individualized printed circuit board manufacturing in industry 4.0 J Leng, G Ruan, Y Song, Q Liu, Y Fu, K Ding, X Chen Journal of cleaner production 280, 124405, 2021 | 94 | 2021 |