The DOI matches its Crossref record.
A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template
Overview
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Citations
Cited by
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103299 · Cited by 1,015
Fernández del Amo, I., Erkoyuncu, J. A., Roy, R., Palmarini, R., & Onoufriou, D. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.08.007 · Cited by 234
Artificial intelligence based methods for retrofit projects: A review of applications and impacts
Bocaneala, N., Mayouf, M., Vakaj, E., & Shelbourn, M. (2025) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-024-10159-7 · Cited by 23
Metadata
- Authors
- Park, C.-S., Lee, D.-Y., Kwon, O.-S., & Wang, X.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 33
- Pages
- 61-71
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2092794624
- Cited by
- 367
- References
- 0
- FWCI
- 26.16
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template. https://app.cochat.ai/papers/10.1016/j.autcon.2012.09.010
- The paper
- Park, C.-S., Lee, D.-Y., Kwon, O.-S., & Wang, X. (2013). A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template. Automation in Construction. https://doi.org/10.1016/j.autcon.2012.09.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
