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Data-Centric Engineering : Impact Factor & More

eISSN: 2632-6736
JournalOpen Access

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Data-Centric Engineering Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • DOAJ DOAJ
  • SJR SJR
Overview
Publisher Cambridge University Press
Language English
Frequency Continuous publication
Article Processing ChargesGBP 1250 | USD 1600
Publication Time12
Editorial Review ProcessBlind peer review
General Details
LanguageEnglish
FrequencyContinuous publication
Publisher URLVisit website
Website URLVisit website
Publication Details
PlagiarismVisit website
Publication Time 12
Waiver PolicyVisit website
Editorial Review Detail
Editorial TeamVisit website
Review ProcessBlind peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
License typeCC BY, CC BY-NC-SA, CC BY-NC-ND
OA statementVisit website
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Recently Published Papers in Data-Centric Engineering

Leveraging scale separation and stochastic closure for data-driven prediction of chaotic dynamics
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Denoising image point clouds using segmentation and synthetic data for enhanced structural health analysis of tunnels
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Embedded model form uncertainty quantification with measurement noise for Bayesian model calibration
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A novel adaptive sampling approach with batch selection for the automatic generation of surrogate models in geotechnical engineering
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Reconstruction of three-dimensional turbulent flows from sparse and noisy planar measurements: a weight-sharing neural network approach
  • 1 Jan 2026
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An energy-based numerical continuation approach for quasi-static mechanical manipulation
  • 1 Jan 2025
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Leveraging scale separation and stochastic closure for data-driven prediction of chaotic dynamics
  • 1 Jan 2026
  • Data-Centric Engineering
Denoising image point clouds using segmentation and synthetic data for enhanced structural health analysis of tunnels
  • 1 Jan 2026
  • Data-Centric Engineering
Embedded model form uncertainty quantification with measurement noise for Bayesian model calibration
  • 1 Jan 2026
  • Data-Centric Engineering
A novel adaptive sampling approach with batch selection for the automatic generation of surrogate models in geotechnical engineering
  • 1 Jan 2026
  • Data-Centric Engineering
Reconstruction of three-dimensional turbulent flows from sparse and noisy planar measurements: a weight-sharing neural network approach
  • 1 Jan 2026
  • Data-Centric Engineering
An energy-based numerical continuation approach for quasi-static mechanical manipulation
  • 1 Jan 2025
  • Data-Centric Engineering

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