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DOIs for this ISSN

Showing the top 5 of 237 DOIs, ordered by correction priority.

#	Title	Missing	Priority	Citations
1	Introducing <i>Data-Centric Engineering</i>: An open access… (10.1017/dce.2020.5)	Abstract ORCID	45.15	7
2	Performance and accuracy assessments of an incompressible fl… (10.1017/dce.2022.10)	Abstract ORCID	34.95	4
3	Feature extraction and artificial neural networks for the on… (10.1017/dce.2021.4)	Abstract ORCID	15.05	1
4	Development of a digital twin operational platform using Pyt… (10.1017/dce.2022.13)	Abstract ORCID	15.05	1
5	Flexible multi-fidelity framework for load estimation of win… (10.1017/dce.2024.62)	Abstract	11.93	2
6	Developing and evaluating predictive conveyor belt wear mode… (10.1017/dce.2020.1)		0.00	27
7	Enhancing industrial X-ray tomography by data-centric statis… (10.1017/dce.2020.10)		0.00	5
8	Modeling intent and destination prediction within a Bayesian… (10.1017/dce.2020.11)		0.00	14
9	From industry-wide parameters to aircraft-centric on-flight… (10.1017/dce.2020.12)		0.00	4
10	DRAT: Data risk assessment tool for university–industry coll… (10.1017/dce.2020.13)		0.00	2
11	Numerical simulation, clustering, and prediction of multicom… (10.1017/dce.2020.14)		0.00	9
12	Quantifying the effects of passenger-level heterogeneity on… (10.1017/dce.2020.15)		0.00	3
13	Construction with digital twin information systems (10.1017/dce.2020.16)		0.00	455
14	Roughness-induced vehicle energy dissipation from crowdsourc… (10.1017/dce.2020.17)		0.00	9
15	Context-specific volume–delay curves by combining crowd-sour… (10.1017/dce.2020.18)		0.00	7
16	Anomaly detection in a fleet of industrial assets with hiera… (10.1017/dce.2020.19)		0.00	11
17	Data-Centric Engineering in modern science from the perspect… (10.1017/dce.2020.2)		0.00	5
18	Physics-constrained local convexity data-driven modeling of… (10.1017/dce.2020.20)		0.00	12
19	Digital twin of an urban-integrated hydroponic farm (10.1017/dce.2020.21)		0.00	62
20	A manifesto for increasing access to data in engineering (10.1017/dce.2020.3)		0.00	2
21	Deep kernel learning approach to engine emissions modeling (10.1017/dce.2020.4)		0.00	16
22	A Parallel World Framework for scenario analysis in knowledg… (10.1017/dce.2020.6)		0.00	25
23	Machine learning approaches to identify and design low therm… (10.1017/dce.2020.7)		0.00	27
24	Data-driven surrogate modeling and benchmarking for process… (10.1017/dce.2020.8)		0.00	7
25	Learning socio-organizational network structure in buildings… (10.1017/dce.2020.9)		0.00	6
26	Microseismic event detection in large heterogeneous velocity… (10.1017/dce.2021.1)		0.00	4
27	Universal Digital Twin - A Dynamic Knowledge Graph (10.1017/dce.2021.10)		0.00	143
28	Recurrent neural network for end-to-end modeling of laminar-… (10.1017/dce.2021.11)		0.00	23
29	Continuous calibration of a digital twin: Comparison of part… (10.1017/dce.2021.12)		0.00	48
30	On generative models as the basis for digital twins (10.1017/dce.2021.13)		0.00	30
31	Emulating computer experiments of transport infrastructure s… (10.1017/dce.2021.14)		0.00	13
32	Model order reduction based on Runge–Kutta neural networks (10.1017/dce.2021.15)		0.00	16
33	Learning stable reduced-order models for hybrid twins (10.1017/dce.2021.16)		0.00	21
34	Chaotic systems learning with hybrid echo state network/prop… (10.1017/dce.2021.17)		0.00	0
35	Decision-theoretic inspection planning using imperfect and i… (10.1017/dce.2021.18)		0.00	10
36	Materials informatics and sustainability—The case for urgenc… (10.1017/dce.2021.19)		0.00	3
37	Feature extraction and artificial neural networks for the <i… (10.1017/dce.2021.2)		0.00	5
38	A hierarchical Bayesian approach for calibration of stochast… (10.1017/dce.2021.20)		0.00	15
39	Universal Digital Twin: Land use (10.1017/dce.2021.21)		0.00	23
40	The study of variability in engineering design—An appreciati… (10.1017/dce.2021.3)		0.00	1
41	Data-driven sparse reconstruction of flow over a stalled aer… (10.1017/dce.2021.5)		0.00	38
42	Anytime Monte Carlo (10.1017/dce.2021.6)		0.00	1
43	Poisson CNN: Convolutional neural networks for the solution… (10.1017/dce.2021.7)		0.00	43
44	Data-based polyhedron model for optimization of engineering… (10.1017/dce.2021.8)		0.00	6
45	Bayesian model uncertainty quantification for hyperelastic s… (10.1017/dce.2021.9)		0.00	20
46	Development of a digital twin operational platform using Pyt… (10.1017/dce.2022.1)		0.00	26
47	Feature extraction and artificial neural networks for the on… (10.1017/dce.2022.12)	Abstract ORCID	0.00	0
48	Emulating computer experiments of transport infrastructure s… (10.1017/dce.2022.14)	Abstract ORCID	0.00	0
49	Intelligent vehicle drive mode which predicts the driver beh… (10.1017/dce.2022.15)		0.00	4
50	A greedy data collection scheme for linear dynamical systems (10.1017/dce.2022.16)		0.00	11