代表性论文及专著
[1] Zhihua Chen, and Xinguo Ming*. A rough–fuzzy approach integrating best–worst method and data envelopment analysis to multi-criteria selection of smart product service module. Applied Soft Computing 94(2020):106479.(SCI,IF: 6.725)
[2] Zhihua Chen, Xinguo Ming*, Elise Vareilles, and Olga Battaia. Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network. Computers in Industry 123(2020):103302.(SCI,IF: 7.635)
[3] Zhihua Chen, Xinguo Ming*, Ruichang Wang, Yuguang Bao. Selection of design alternatives for smart product service system: A rough-fuzzy data envelopment analysis approach. Journal of Cleaner Production, 273(2020), 122931.(SCI,IF: 9.297)
[4] Zhihua Chen, Xinguo Ming*, Tongtong Zhou, and Yuan Chang. Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing, 87(2020), 106004.(SCI,IF: 6.725,ESI高被引)
[5] Zhihua Chen, Minglei Lu, Xinguo Ming*, Xianyu Zhang, and Tongtong Zhou. Explore and evaluate innovative value propositions for smart product service system: A novel graphics-based rough-fuzzy DEMATEL method. Journal of Cleaner Production, 243(2020), 118672. (SCI,IF: 9.297)
[6] Zhihua Chen, Xinguo Ming*, Tongtong Zhou, Yuan Chang, and Zhaohui Sun. A hybrid framework integrating rough-fuzzy best-worst method to identify and evaluate user activity-oriented service requirement for smart product service system. Journal of Cleaner Production, 253(2020), 119954. (SCI,IF: 9.297)
[7] Zhihua Chen, Xinguo Ming*, Xianyu Zhang, Dao Yin, and Zhaohui Sun. A rough-fuzzy DEMATEL-ANP method for evaluating sustainable value requirement of product service system. Journal of Cleaner Production, 228(2019), 485-508.(SCI,IF: 9.297)
[8] Zhihua Chen, Xinguo Ming*, Elise Vareilles, and Olga Battaia. Bi-objectives configuration optimization for smart product service with hybrid uncertain instance attributes. Proceedings of the 22nd International Configuration Workshop (Virtual Event), Sep 10-11th, 2020 Vicenza, Italy.(国际会议)
[9] Mei, Mei, Zhihua Chen*. (2020). Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA. Renewable Energy, 165, 716-730. (SCI,IF: 8.001)
[10] Zhou, T., Chen, Z., Cao, Y., Miao, R., & Ming, X. (2022). An integrated framework of user experience-oriented smart service requirement analysis for smart product service system development. Advanced Engineering Informatics, 51, 101458.
[11] Zhou, T., Ming, X., Chen, Z., & Miao, R. (2021). Selecting industrial IoT Platform for digital servitisation: a framework integrating platform leverage practices and cloud HBWM-TOPSIS approach. International Journal of Production Research, 1-23. (SCI,IF:8.568)
[12] Tongtong Zhou, Zhihua Chen, Xinguo Ming. A novel hesitant fuzzy linguistic hybrid cloud model and extended best-worst method for multicriteria decision making. International Journal of Intelligent Systems. 2021. (SCI,IF: 8.709)
[13] Zhao-Hui Sun, Tian-Yu Zuo, Di Liang, Xinguo Ming, Zhihua Chen, Siqi Qiu. GPHC: A heuristic clustering method to customer segmentation. Applied Soft Computing. 2021;111:107677. (SCI,IF: 6.725)
[14] Xianyu Zhang, Xinguo Ming, Zhiwen Liu, Dao Yin, and Zhihua Chen. A reference system of smart manufacturing talent education (SMTE) in China. The International Journal of Advanced Manufacturing Technology 100, 9(2019):2701-14.(SCI)
[15]周新杰,明新国,陈志华,张先燏,潘杨.基于模型、数据、知识的设计与制造协同框架[J].计算机集成制造系统,2019,25(12):3116-3126.(EI)
[16]王瑞昌,陈志华,明新国.船舶动力系统全生命周期绿色设计的评价方法[J].上海交通大学学报,2020,54(03):256-264.(EI)