| 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 | 208 | 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 | 172 | 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 | 90 | 2022 |
| 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 | 59 | 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 | 57 | 2021 |
| 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 | 49 | 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 | 46 | 2022 |
| 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 | 43 | 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 | 35 | 2023 |
| 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 | 31 | 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 | 29 | 2022 |
| 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 | 16 | 2021 |
| An adaptive evolutionary framework for the decision-making models of digital twin machining system S Liu, H Shen, J Li, Y Lu, J Bao 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 9 | 2021 |
| Modeling and multi-view interaction of digital twin machining system based on augmented reality S Lu, S Liu, Z Ding Comput. Integr. Manuf. Syst 27, 456-466, 2021 | 9 | 2021 |
| Process-oriented unstable state monitoring and strategy recommendation for burr suppression of weak rigid drilling system driven by digital twin M Xu, S Liu, H Shen, J Bao The International Journal of Advanced Manufacturing Technology, 1-17, 2022 | 8 | 2022 |
| Digital Twin-based manufacturing system: A survey based on a novel reference model S Liu, P Zheng, J Bao Journal of Intelligent Manufacturing, 1-30, 2023 | 7 | 2023 |
| A knowledge-driven digital twin modeling method for machining products based on biomimicry 刘世民， 孙学民， 陆玉前， 王柏村， 鲍劲松， 郭国强 Journal of Mechanical Engineering 57 (23), 182-194, 2021 | 7 | 2021 |
| 基于增强现实的数字孪生加工系统建模与多视图交互 卢山雨， 刘世民， 丁志昆， 鲍劲松 计算机集成制造系统 27 (2), 456, 2021 | 6 | 2021 |
| Digital twin-driven intelligent assembly for high precision products X Sun, S Liu, X Shen, D Huang, J Bao Comput Integr Manuf Syst 28 (6), 1704-1716, 2022 | 5 | 2022 |
| 知识驱动的加工产品数字孪生拟态建模方法 刘世民， 孙学民， 陆玉前， 王柏村， 鲍劲松， 郭国强 机械工程学报 57 (23), 182-194, 2021 | 5 | 2021 |
Jinsong BaoDonghua UniversityDirección de correo verificada de dhu.edu.cn
