Most cited
This page lists all time most cited articles for this title. Please use the publication date filters on the left if you would like to restrict this list to recently published content, for example to articles published in the last three years. The number of times each article was cited is displayed to the right of its title and can be clicked to access a list of all titles this article has been cited by.
- Cited by 8
Guidance for Materials 4.0 to interact with a digital twin
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- Published online by Cambridge University Press:
- 02 June 2022, e21
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- Cited by 8
Anomaly detection in a fleet of industrial assets with hierarchical statistical modeling
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- Published online by Cambridge University Press:
- 30 December 2020, e21
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- Cited by 8
Universal Digital Twin: Integration of national-scale energy systems and climate data
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- Published online by Cambridge University Press:
- 13 June 2022, e23
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- Cited by 7
Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase
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- Published online by Cambridge University Press:
- 27 October 2020, e12
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- Cited by 6
Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference
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- 06 September 2021, e12
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- Cited by 6
Introducing Data-Centric Engineering: An open access journal dedicated to the transformation of engineering design and practice
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- Published online by Cambridge University Press:
- 18 June 2020, e1
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- Cited by 6
Model order reduction based on Runge–Kutta neural networks
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- 08 September 2021, e13
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- Cited by 6
A greedy data collection scheme for linear dynamical systems
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- 19 April 2022, e16
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- Cited by 6
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network
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- Published online by Cambridge University Press:
- 04 February 2022, e2
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- Cited by 6
Numerical simulation, clustering, and prediction of multicomponent polymer precipitation
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- Published online by Cambridge University Press:
- 17 November 2020, e13
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- Cited by 5
Data-driven surrogate modeling and benchmarking for process equipment
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- 04 September 2020, e7
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- Cited by 5
Learning socio-organizational network structure in buildings with ambient sensing data
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- 02 October 2020, e9
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- Cited by 4
Virtual sensing in an onshore wind turbine tower using a Gaussian process latent force model
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- Published online by Cambridge University Press:
- 28 November 2022, e35
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- Cited by 4
Data-Centric Engineering in modern science from the perspective of a statistician, an engineer, and a software developer
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- 18 June 2020, e2
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- Cited by 4
Context-specific volume–delay curves by combining crowd-sourced traffic data with automated traffic counters: A case study for London
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- Published online by Cambridge University Press:
- 17 December 2020, e18
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- Cited by 4
Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques
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- 26 April 2022, e18
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- Cited by 4
Roughness-induced vehicle energy dissipation from crowdsourced smartphone measurements through random vibration theory
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- 23 December 2020, e16
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- Cited by 4
On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration
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- 13 July 2023, e17
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- Cited by 4
An approach for system analysis with model-based systems engineering and graph data engineering
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- Published online by Cambridge University Press:
- 14 November 2022, e33
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- Cited by 4
Enhancing industrial X-ray tomography by data-centric statistical methods
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- Published online by Cambridge University Press:
- 16 October 2020, e10
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