A big data driven analytical framework for energy-intensive manufacturing industries Y Zhang, S Ma, H Yang, J Lv, Y Liu Journal of Cleaner Production 197, 57-72, 2018 | 228 | 2018 |
Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries S Ma, Y Zhang, Y Liu, H Yang, J Lv, S Ren Journal of Cleaner Production 274, 123155, 2020 | 180 | 2020 |
Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries S Ma, W Ding, Y Liu, S Ren, H Yang Applied energy 326, 119986, 2022 | 123 | 2022 |
Energy-cyber-physical system enabled management for energy-intensive manufacturing industries S Ma, Y Zhang, J Lv, H Yang, J Wu Journal of cleaner production 226, 892-903, 2019 | 123 | 2019 |
Big data driven predictive production planning for energy-intensive manufacturing industries S Ma, Y Zhang, J Lv, Y Ge, H Yang, L Li Energy 211, 118320, 2020 | 88 | 2020 |
Edge computing-based real-time scheduling for digital twin flexible job shop with variable time window J Wang, Y Liu, S Ren, C Wang, S Ma Robotics and Computer-Integrated Manufacturing 79, 102435, 2023 | 39 | 2023 |
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China S Ma, Y Zhang, J Lv, S Ren, H Yang, C Wang Advanced Engineering Informatics 53, 101684, 2022 | 37 | 2022 |
Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries S Ma, Y Huang, Y Liu, X Kong, L Yin, G Chen Applied Energy 337, 120843, 2023 | 32 | 2023 |
Calculation method and its application for energy consumption of ball mills in ceramic industry based on power feature deployment J Lv, Z Wang, S Ma Advances in Applied Ceramics 119 (4), 183-194, 2020 | 29 | 2020 |
Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries S Ma, Y Huang, Y Liu, H Liu, Y Chen, J Wang, J Xu Applied Energy 349, 121608, 2023 | 28 | 2023 |
A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop Q Lin, Y Zhang, S Yang, S Ma, T Zhang, Q Xiao Robotics and Computer-Integrated Manufacturing 65, 101975, 2020 | 26 | 2020 |
Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment L Yun, L Li, S Ma Applied Energy 310, 118550, 2022 | 25 | 2022 |
CPS-enabled and knowledge-aided demand response strategy for sustainable manufacturing L Yun, S Ma, L Li, Y Liu Advanced Engineering Informatics 52, 101534, 2022 | 22 | 2022 |
Research on recommendation and interaction strategies based on resource similarity in the manufacturing ecosystem J Li, Y Zhang, C Qian, S Ma, G Zhang Advanced Engineering Informatics 46, 101183, 2020 | 22 | 2020 |
A case-practice-theory-based method of implementing energy management in a manufacturing factory S Ma, Y Zhang, S Ren, H Yang, Z Zhu International Journal of Computer Integrated Manufacturing 34 (7-8), 829-843, 2021 | 21 | 2021 |
Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energy-intensive manufacturing industries S Ma, W Ding, Y Liu, Y Zhang, S Ren, X Kong, J Leng Journal of Cleaner Production, 142879, 2024 | 3 | 2024 |
Integrated sustainable benchmark based on edge-cloud cooperation and big data analytics for energy-intensive manufacturing industries S Ma, Y Huang, W Cai, J Leng, J Xu Journal of Manufacturing Systems 74, 1037-1056, 2024 | 1 | 2024 |
Summary of domestic garbage classification and detection based on deep learning H Hu, X Jiang, X Liu, R Ding, S Ma, B Wang 2021 7th International Conference on Computer and Communications (ICCC), 858-862, 2021 | 1 | 2021 |
Edge-cloud collaboration-driven predictive planning based on LSTM-attention for wastewater treatment S Ma, W Ding, Y Zheng, L Zhou, Z Yan, J Xu Computers & Industrial Engineering 195, 110425, 2024 | | 2024 |