Cited by 192BIM and Construction IntegrationDigital Transformation in Industry3D Modeling in Geospatial Applications

Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes

Zhao, Jianfeng, Feng, Haibo, Chen, Qian, Garcia de Soto, Borja·2022·Journal of Building Engineering

Integrity signals

Registry

Crossref · 10.1016/j.jobe.2022.104028

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

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Cited by

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Authors
Zhao, J., Feng, H., Chen, Q., & Garcia de Soto, B.
Affiliations
  • Northumbria University (GB)
  • New York University Abu Dhabi (AE)
Corresponding author
Feng, Haibo
Venue
Journal of Building Engineering
Publisher
Elsevier BV
Published
2022-05
Volume
49
Pages
104028
ISSN
2352-7102 (ISSN-L)
OpenAlex
W4213051105
Cited by
192
References
3
Citations by year
2026: 31 · 2025: 52 · 2024: 57 · 2023: 43 · 2022: 9
FWCI
17.61
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Building Engineering (publishedVersion)
  • Northumbria Research Link (Northumbria University) (acceptedVersion)
Topics
  • Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
Keywords
digital twin, building operation and maintenance, facility management, conceptual framework, AEC industry, data integration, data standards, real-time asset monitoring, stakeholder decision-making, building life cycle

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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