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 243
Construction with digital twin information systems
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- Published online by Cambridge University Press:
- 27 November 2020, e14
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- Cited by 62
Universal Digital Twin - A Dynamic Knowledge Graph
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- 06 September 2021, e14
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- Cited by 32
Digital twin of an urban-integrated hydroponic farm
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- 29 December 2020, e20
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- Cited by 27
Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh
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- 29 June 2021, e6
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- Cited by 23
Data-driven sparse reconstruction of flow over a stalled aerofoil using experimental data
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- 31 May 2021, e5
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- Cited by 21
A Parallel World Framework for scenario analysis in knowledge graphs
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- 14 July 2020, e6
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- Cited by 20
Digital twinning of self-sensing structures using the statistical finite element method
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- 17 October 2022, e31
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- Cited by 20
Continuous calibration of a digital twin: Comparison of particle filter and Bayesian calibration approaches
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- 30 September 2021, e15
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- Cited by 18
Machine learning approaches to identify and design low thermal conductivity oxides for thermoelectric applications
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- 09 September 2020, e8
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- Cited by 17
Scalable algorithms for physics-informed neural and graph networks
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- 29 June 2022, e24
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- Cited by 16
On generative models as the basis for digital twins
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- 31 August 2021, e11
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- Cited by 15
Learning stable reduced-order models for hybrid twins
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- 27 August 2021, e10
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- Cited by 15
Recurrent neural network for end-to-end modeling of laminar-turbulent transition
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- 19 October 2021, e17
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- Cited by 14
Universal Digital Twin: Land use
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- 10 February 2022, e3
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- Cited by 13
Deep kernel learning approach to engine emissions modeling
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- 18 June 2020, e4
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- Cited by 13
Developing and evaluating predictive conveyor belt wear models
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- 18 June 2020, e3
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- Cited by 12
Bayesian model uncertainty quantification for hyperelastic soft tissue models
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- 13 July 2021, e9
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- Cited by 12
Development of a digital twin operational platform using Python Flask
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- 31 January 2022, e1
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- Cited by 11
Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase
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- 27 October 2020, e12
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- Cited by 10
Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing
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- Published online by Cambridge University Press:
- 07 June 2022, e22
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