The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A review on the basics of building energy estimation
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Citations
Cites
Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
Cited by
Zhao, Y., Zhang, C., Zhang, Y., Wang, Z., & Li, J. (2020) · Energy and Built Environment · doi:10.1016/j.enbenv.2019.11.003 · Cited by 303
Thermal performance of reflective materials applied to exterior building components—A review
Hernández-Pérez, I., Álvarez, G., Xamán, J., Zavala-Guillén, I., Arce, J., & Simá, E. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.05.008 · Cited by 167
Data-driven strategic planning of building energy retrofitting: the case of Stockholm
Pasichnyi, O., Levihn, F., Shahrokni, H., Wallin, J., & Kordas, O. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.05.373 · Cited by 92
Metadata
- Authors
- Fumo, N.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 31
- Pages
- 53-60
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2163167422
- Cited by
- 419
- References
- 1
- FWCI
- 34.65
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: A review on the basics of building energy estimation. https://app.cochat.ai/papers/10.1016/j.rser.2013.11.040
- The paper
- Fumo, N. (2014). A review on the basics of building energy estimation. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2013.11.040
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.