[1]Jinfeng Liu, Qiukai Ji, Xiaohu Zhang, Yu Chen, Yiming Zhang, Xiaojun Liu, Mingming Tang. Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line. Journal of Intelligent Manufacturing, 2023 https://doi.org/10.1007/s10845-023-02212-2

[2]Jinfeng Liu, Qiukai Ji, Honggen Zhou, Chenxiao Du, Xiaojun Liu, Mingxuan Li. A multi-dimensional evolution modeling method for digital twin process model. Robotics and Computer-Integrated Manufacturing,2023  https://doi.org/10.1016/j.rcim.2023.102667

[3]Jinfeng Liu, Xiaojian Wen, Honggen Zhou, Sushan Sheng, Peng Zhao, Xiaojun Liu, Chao Kang, Yu Chen. Digital twin-enabled machining process modeling. Advanced Engineering Informatics,2022,54:1-13

[4]Jinfeng Liu, Xuwu Cao, Honggen Zhou, Lei Li, Xiaojun Liu, Peng Zhao, Jianwei Dong. A digital twin-driven approach towards traceability and dynamic control for processing quality. Advanced Engineering Informatics, 2022.50, 1-17.

[5]Liu JF, Zhao  P, Jing XW, Cao XW, Sheng SS, Zhou HG, Liu XJ, Feng F. Dynamic design method of digital twin process model driven by knowledge-evolution machining features [J]. International Journal of Production Research, 2022,60(7): 2312-2330