The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A review of sensitivity analysis methods in building energy analysis
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Relative Importance for Linear Regression in R : The Package relaimpo
Grömping, U. (2006) · Journal of Statistical Software · doi:10.18637/jss.v017.i01 · Cited by 2,615
Breesch, H., & Janssens, A. (2010) · Solar Energy · doi:10.1016/j.solener.2010.05.008 · Cited by 143
Cited by
A review on simulation-based optimization methods applied to building performance analysis
Nguyen, A.-T., Reiter, S., & Rigo, P. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.08.061 · Cited by 1,379
Liu, H., Ong, Y.-S., & Cai, J. (2018) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-017-1739-8 · Cited by 444
Building simulations supporting decision making in early design – A review
Østergård, T., Jensen, R. L., & Maagaard, S. E. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.03.045 · Cited by 323
Tian, Z., Zhang, X., Jin, X., Zhou, X., Si, B., & Shi, X. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2017.11.022 · Cited by 257
Ascione, F., Bianco, N., De Stasio, C., Mauro, G. M., & Vanoli, G. P. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.04.078 · Cited by 219
Metadata
- Authors
- Tian, W.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 20
- Pages
- 411-419
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W1997986440
- Cited by
- 977
- References
- 4
- FWCI
- 75.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Tian, W. (2013). A review of sensitivity analysis methods in building energy analysis. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2012.12.014
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.