The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data
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Cited by
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
How to tell the difference between a model and a digital twin
Wright, L., & Davidson, S. (2020) · Advanced Modeling and Simulation in Engineering Sciences · doi:10.1186/s40323-020-00147-4 · Cited by 601
Data-driven modeling and learning in science and engineering
Montáns, F. J., Chinesta, F., Gómez-Bombarelli, R., & Kutz, J. N. (2019) · Comptes Rendus. Mécanique · doi:10.1016/j.crme.2019.11.009 · Cited by 299
Self-citationData-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Brunton, S. L., Nathan Kutz, J., Manohar, K., Aravkin, A. Y., Morgansen, K., Klemisch, J., Goebel, N., Buttrick, J., Poskin, J., Blom-Schieber, A. W., et al. (2021) · AIAA Journal · doi:10.2514/1.j060131 · Cited by 270
Digital Twin: Values, Challenges and Enablers
Rasheed, A., San, O., & Kvamsdal, T. (2019) · arXiv · doi:10.48550/arxiv.1910.01719 · Cited by 81
Metadata
- Authors
- Chinesta, F., Cueto, E., Abisset-Chavanne, E., Duval, J. L., & Khaldi, F. E.
- Venue
- Archives of Computational Methods in Engineering
- Published
- 2018-11-26
- Volume
- 27
- Issue
- 1
- Pages
- 105-134
- ISSN
- 1134-3060 (ISSN-L)
- 1886-1784
- OpenAlex
- W2902710430
- Cited by
- 299
- References
- 67
- FWCI
- 17.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Chinesta, F., Cueto, E., Abisset-Chavanne, E., Duval, J. L., & Khaldi, F. E. (2020). Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-018-9301-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
