A Bibliometric Analysis of Digital Twin in the Supply Chain
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- Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
- Ahmed Zainul Abideen & Veera Pandiyan Kaliani Sundram & Jaafar Pyeman & Abdul Kadir Othman & Shahryar Sorooshian, 2021. "Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics," Logistics, MDPI, vol. 5(4), pages 1-22, November.
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- Igor Fellype Loureiro Valenca Filgueiras & Fagner José Coutinho de Melo & Eryka Fernanda Miranda Sobral & Aline Amaral Leal Barbosa & Denise Dumke de Medeiros & Pablo Aurélio Lacerda de Almeida Pinto , 2024. "Analyzing the Benefits of Industry 4.0 Technologies That Impact Sustainability 4.0 in Banking Services," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
- Georgiana-Alina Crisan & Anda Belciu & Madalina Ecaterina Popescu, 2025. "Digital Transformation—One Step Further to a Sustainable Economy: The Bibliometric Analysis," Sustainability, MDPI, vol. 17(4), pages 1-46, February.
- Pallawi Baldeo Sangode, 2025. "Fusion of Blockchain and Industry 4.0: A Bibliometric Analysis and Detailed Review," SN Operations Research Forum, Springer, vol. 6(1), pages 1-20, March.
- Sung, Kiseo & Park, Kyu-Tae & Lee, Hakyeon, 2024. "Landscaping the digital twin technology: Patent-based networks and technology reference model," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
- Ilaria Bucci & Virginia Fani & Romeo Bandinelli, 2024. "Towards Human-Centric Manufacturing: Exploring the Role of Human Digital Twins in Industry 5.0," Sustainability, MDPI, vol. 17(1), pages 1-28, December.
- Alexandra Nicoleta Ciucu-Durnoi & Camelia Delcea & Aurelia Stănescu & Cosmin Alexandru Teodorescu & Vanesa Mădălina Vargas, 2024. "Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
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Keywords
digital twin; machine learning; Industry 4.0; supply chain; bibliometric analysis; subject area;All these keywords.
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