| Digital twin modeling method based on biomimicry for machining aerospace components S Liu, J Bao, Y Lu, J Li, S Lu, X Sun Journal of manufacturing systems 58, 180-195, 2021 | 267 | 2021 |
| A digital twin-driven approach for the assembly-commissioning of high precision products X Sun, J Bao, J Li, Y Zhang, S Liu, B Zhou Robotics and Computer-Integrated Manufacturing 61, 101839, 2020 | 219 | 2020 |
| A reinforcement learning method for human-robot collaboration in assembly tasks R Zhang, Q Lv, J Li, J Bao, T Liu, S Liu Robotics and Computer-Integrated Manufacturing 73, 102227, 2022 | 135 | 2022 |
| A review of digital twin-driven machining: From digitization to intellectualization S Liu, J Bao, P Zheng Journal of Manufacturing Systems 67, 361-378, 2023 | 82 | 2023 |
| Machining process-oriented monitoring method based on digital twin via augmented reality S Liu, S Lu, J Li, X Sun, Y Lu, J Bao The International Journal of Advanced Manufacturing Technology 113, 3491-3508, 2021 | 79 | 2021 |
| Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model S Liu, Y Lu, J Li, D Song, X Sun, J Bao Robotics and Computer-Integrated Manufacturing 71, 102123, 2021 | 78 | 2021 |
| A blockchain-based interactive approach between digital twin-based manufacturing systems S Liu, Y Lu, J Li, X Shen, X Sun, J Bao Computers & Industrial Engineering 175, 108827, 2023 | 76 | 2023 |
| A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units S Liu, Y Lu, X Shen, J Bao Journal of Manufacturing Systems 68, 145-159, 2023 | 60 | 2023 |
| Adaptive reconstruction of digital twins for machining systems: A transfer learning approach S Liu, Y Lu, P Zheng, H Shen, J Bao Robotics and Computer-Integrated Manufacturing 78, 102390, 2022 | 57 | 2022 |
| A digital twin-driven human–robot collaborative assembly-commissioning method for complex products X Sun, R Zhang, S Liu, Q Lv, J Bao, J Li The International Journal of Advanced Manufacturing Technology, 1-14, 2022 | 45 | 2022 |
| Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach S Liu, Y Sun, P Zheng, Y Lu, J Bao Journal of Manufacturing Systems 62, 390-401, 2022 | 41 | 2022 |
| Leveraging error-assisted fine-tuning large language models for manufacturing excellence L Xia, C Li, C Zhang, S Liu, P Zheng Robotics and Computer-Integrated Manufacturing 88, 102728, 2024 | 33 | 2024 |
| Digital Twin-based manufacturing system: A survey based on a novel reference model S Liu, P Zheng, J Bao Journal of Intelligent Manufacturing 35 (6), 2517-2546, 2024 | 26 | 2024 |
| Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin W Qu, J Li, R Zhang, S Liu, J Bao Journal of Intelligent Manufacturing 35 (5), 2021-2043, 2024 | 26 | 2024 |
| Empowering digital twins with large language models for global temporal feature learning Y Sun, Q Zhang, J Bao, Y Lu, S Liu Journal of Manufacturing Systems 74, 83-99, 2024 | 23 | 2024 |
| A performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning X Sun, S Liu, J Bao, J Li, Z Liu Machines 10 (1), 11, 2021 | 21 | 2021 |
| Resilient digital twin modeling: A transferable approach J Song, S Liu, T Ma, Y Sun, F Tao, J Bao Advanced Engineering Informatics 58, 102148, 2023 | 20 | 2023 |
| A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin J Pang, P Zheng, S Li, S Liu Journal of Manufacturing Systems 68, 477-492, 2023 | 18 | 2023 |
| Digital twin-driven smelting process management method for converter steelmaking T Fu, S Liu, P Li Journal of Intelligent Manufacturing, 1-17, 2024 | 15 | 2024 |
| A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model S Liu, P Zheng, L Xia, J Bao Advanced Engineering Informatics 57, 102115, 2023 | 15 | 2023 |
Jinsong BaoDonghua UniversityBestätigte E-Mail-Adresse bei dhu.edu.cn