Shaping the digital twin for design and production engineering

Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · see citing works

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404 · cited 1× · see citing works

About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · see citing works

Digital Twin—The Simulation Aspect

Boschert, S., & Rosen, R. (2016) · Mechatronic Futures · doi:10.1007/978-3-319-32156-1_5 · Cited by 1,158 · see citing works

Continuous maintenance and the future – Foundations and technological challenges

Roy, R., Stark, R., Tracht, K., Takata, S., & Mori, M. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.06.006 · Cited by 309 · see citing works

Digital Twin in Industry: State-of-the-Art

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391 · see citing works

Digital Twin in manufacturing: A categorical literature review and classification

Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612 · see citing works

Digital twin: Enabling technologies, challenges and open research

Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020) · IEEE Access · doi:10.1109/access.2020.2998358 · Cited by 2,965 · see citing works

Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison

Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716 · see citing works

Enabling technologies and tools for digital twin

Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.10.001 · Cited by 1,579 · see citing works

A survey on digital twin: definitions, characteristics, applications, and design implications

Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019) · IEEE Access · doi:10.1109/access.2019.2953499 · Cited by 1,480 · see citing works

Digital twin driven prognostics and health management for complex equipment

Tao, F., Zhang, M., Liu, Y., & Nee, A. Y. C. (2018) · CIRP Annals · doi:10.1016/j.cirp.2018.04.055 · Cited by 1,000 · see citing works

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works

A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700 · see citing works

Digital twin: benefits, use cases, challenges, and opportunities

Attaran, M., & Celik, B. G. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100165 · Cited by 704 · see citing works

Digital Twins: State of the art theory and practice, challenges, and open research questions

Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., & Calinescu, A. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2022.100383 · Cited by 587 · see citing works

Digital Twin for rotating machinery fault diagnosis in smart manufacturing

Wang, J., Ye, L., Gao, R. X., Li, C., & Zhang, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1552032 · Cited by 552 · see citing works

A survey on AI-driven digital twins in Industry 4.0: smart manufacturing and advanced robotics

Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C. (2021) · Sensors · doi:10.3390/s21196340 · Cited by 418 · see citing works

A survey of smart product-service systems: Key aspects, challenges and future perspectives

Zheng, P., Wang, Z., Chen, C.-H., & Pheng Khoo, L. (2019) · Advanced Engineering Informatics · doi:10.1016/j.aei.2019.100973 · Cited by 377 · see citing works

The modelling and operations for the digital twin in the context of manufacturing

Bao, J., Guo, D., Li, J., & Zhang, J. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2018.1526324 · Cited by 347 · see citing works

A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools

Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3297395 · Cited by 304 · see citing works

A Conceptual Framework to Support Digital Transformation in Manufacturing Using an Integrated Business Process Management Approach

Butt, J. (2020) · Designs · doi:10.3390/designs4030017 · Cited by 247 · see citing works

Literature review of digital twins applications in construction workforce safety

Hou, L., Wu, S., Zhang, G. (., Tan, Y., & Wang, X. (2020) · Applied Sciences · doi:10.3390/app11010339 · Cited by 194 · see citing works

Digital twins in infrastructure: definitions, current practices, challenges and strategies

Broo, D. G., & Schooling, J. (2023) · International Journal of Construction Management · doi:10.1080/15623599.2021.1966980 · Cited by 184 · see citing works

Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises' performance

Longo, F., Nicoletti, L., & Padovano, A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.01.001 · Cited by 153 · see citing works

A review of digital twin applications in construction

Madubuike, O. C., Anumba, C. J., & Khallaf, R. (2022) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2022.008 · Cited by 147 · see citing works

Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks

Gupta, N., Tiwari, A., Bukkapatnam, S. T. S., & Karri, R. (2020) · IEEE Access · doi:10.1109/access.2020.2978815 · Cited by 144 · see citing works

Digital twin and its application to power grid online analysis

(2019) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2018.01460 · Cited by 135 · see citing works

Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

Iliuţă, M.-E., Moisescu, M.-A., Pop, E., Ionita, A.-D., Caramihai, S.-I., & Mitulescu, T.-C. (2024) · Applied Sciences · doi:10.3390/app14135454 · Cited by 134 · see citing works

Digital twins and industrial internet of things: uncovering operational intelligence in Industry 4.0

Attaran, S., Attaran, M., & Celik, B. G. (2024) · Decision Analytics Journal · doi:10.1016/j.dajour.2024.100398 · Cited by 122 · see citing works

Smart Livestock Farms Using Digital Twin: Feasibility Study

Jo, S.-K., Park, D.-H., Park, H., & Kim, S.-H. (2018) · 2018 International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc.2018.8539516 · Cited by 106 · see citing works

Digital twin for integration of design-manufacturing-maintenance: an overview

Fu, Y., Zhu, G., Zhu, M., & Xuan, F. (2022) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-022-00760-x · Cited by 98 · see citing works

Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review

Ba, L., Tangour, F., El Abbassi, I., & Absi, R. (2025) · Sustainability · doi:10.3390/su17083560 · Cited by 96 · see citing works

Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction

Guerra, R. H., Quiza, R., Villalonga, A., Arenas, J., & Castano, F. (2019) · IEEE Access · doi:10.1109/access.2019.2928141 · Cited by 89 · see citing works

Digital twins in industry 4.0

Stavropoulos, P., & Mourtzis, D. (2022) · Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology · doi:10.1016/b978-0-12-823657-4.00010-5 · Cited by 80 · see citing works

Smart Grid Anomaly Detection using a Deep Learning Digital Twin

Danilczyk, W., Sun, Y. L., & He, H. (2021) · 2020 52nd North American Power Symposium (NAPS) · doi:10.1109/naps50074.2021.9449682 · Cited by 89 · see citing works

A holistic relook at engineering design methodologies for smart product-service systems development

Cong, J.-C., Chen, C.-H., Zheng, P., Li, X., & Wang, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122737 · Cited by 67 · see citing works

Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing

Frontoni, E., Loncarski, J., Pierdicca, R., Bernardini, M., & Sasso, M. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-95282-6_31 · Cited by 42 · see citing works

A unified digital twin approach incorporating virtual, physical, and prescriptive analytical components to support adaptive real-time decision-making

Walton, R. B., Ciarallo, F. W., & Champagne, L. E. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110241 · Cited by 33 · see citing works

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Naderi, H., & Shojaei, A. (2022) · IEEE Access · doi:10.1109/access.2022.3223557 · Cited by 31 · see citing works

Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0

Mon, B. F., Hayajneh, M., Ali, N. A., Ullah, F., Ullah, H., & Alkobaisi, S. (2025) · Computers, Materials & Continua · doi:10.32604/cmc.2025.061411 · Cited by 26 · see citing works