The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Digital Twin: Generalization, characterization and implementation
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Citations
Cites
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
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
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
Leveraging Digital Twin Technology in Model-Based Systems Engineering
Madni, A. M., Madni, C. C., & Lucero, S. D. (2019) · Systems · doi:10.3390/systems7010007 · Cited by 1,050
C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems
Alam, K. M., & El Saddik, A. (2017) · IEEE Access · doi:10.1109/access.2017.2657006 · Cited by 741
Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect
Hu, L., Nguyen, N.-T., Tao, W., Leu, M. C., Liu, X. F., Shahriar, M. R., & Al Sunny, S. M. N. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.07.155 · Cited by 219
Exploring the role of digital twin for asset lifecycle management
Macchi, M., Roda, I., Negri, E., & Fumagalli, L. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.415 · Cited by 216
Consistency check to synchronize the Digital Twin of manufacturing automation based on anchor points
Talkhestani, B. A., Jazdi, N., Schloegl, W., & Weyrich, M. (2018) · Procedia CIRP · doi:10.1016/j.procir.2018.03.166 · Cited by 119
Cited by
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Thelen, A., Zhang, X., Fink, O., Lu, Y., Ghosh, S., Youn, B. D., Todd, M. D., Mahadevan, S., Hu, C., & Hu, Z. (2022) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-022-03425-4 · Cited by 441
Self-citationToward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm
Nasirahmadi, A., & Hensel, O. (2022) · Sensors · doi:10.3390/s22020498 · Cited by 304
Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities
Weil, C., Bibri, S. E., Longchamp, R., Golay, F., & Alahi, A. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104862 · Cited by 299
Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating
Bado, M. F., Tonelli, D., Poli, F., Zonta, D., & Casas, J. R. (2022) · Sensors · doi:10.3390/s22093168 · Cited by 158
Knowledge graph-based data integration system for digital twins of built assets
Ramonell, C., Chacón, R., & Posada, H. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105109 · Cited by 130
Metadata
- Authors
- VanDerHorn, E., & Mahadevan, S.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 145
- Pages
- 113524
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W3129472311
- Cited by
- 918
- References
- 8
- FWCI
- 68.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Digital Twin: Generalization, characterization and implementation. https://app.cochat.ai/papers/10.1016/j.dss.2021.113524
- The paper
- VanDerHorn, E., & Mahadevan, S. (2021). Digital Twin: Generalization, characterization and implementation. Decision Support Systems. https://doi.org/10.1016/j.dss.2021.113524
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.
