The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore, and Japan during hot and humid season
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Citations
Cites
Updated world map of the Köppen-Geiger climate classification
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007) · doi:10.5194/hessd-4-439-2007 · Cited by 13,640
Updated world map of the Köppen-Geiger climate classification
(2007) · doi:10.5194/hess-11-1633-2007 · Cited by 13,640
Thermal Environmental Conditions for Human Occupancy
Ashrae, S. (1992) · Medical Entomology and Zoology · Cited by 6,092
(1998) · eScholarship (California Digital Library) · Cited by 1,934
Thermal adaptation in the built environment: a literature review
Brager, G. S., & de Dear, R. J. (1998) · Energy and Buildings · doi:10.1016/s0378-7788(97)00053-4 · Cited by 1,483
Adaptive Thermal Comfort: Principles and Practice
Nicol, F., Humphreys, M., & Roaf, S. (2012) · doi:10.4324/9780203123010 · Cited by 636
Adaptive thermal comfort standards in the hot–humid tropics
Nicol, F. (2004) · Energy and Buildings · doi:10.1016/j.enbuild.2004.01.016 · Cited by 437
Manu, S., Shukla, Y., Rawal, R., Thomas, L., & de Dear, R. (2015) · Building and Environment · doi:10.1016/j.buildenv.2015.12.019 · Cited by 347
Energy consumption, energy savings, and emission analysis in Malaysian office buildings
Saidur, R. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.04.052 · Cited by 337
Humphreys, M., Rijal, H. B., & Nicol, F. (2013) · Building and Environment · doi:10.1016/j.buildenv.2013.01.024 · Cited by 329
Self-citation
Cited by
The influence of relative humidity on adaptive thermal comfort
Vellei, M., Herrera, M., Fosas, D., & Natarajan, S. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.08.005 · Cited by 188
Revisiting individual and group differences in thermal comfort based on ASHRAE database
Wang, Z., Zhang, H., He, Y., Luo, M., Li, Z., Hong, T., & Lin, B. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110017 · Cited by 123
Predicting thermal comfort in office buildings in a Brazilian temperate and humid climate
Forgiarini Rupp, R., & Ghisi, E. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.03.039 · Cited by 66
Metadata
- Authors
- Damiati, S. A., Zaki, S. A., Rijal, H. B., & Wonorahardjo, S.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 109
- Pages
- 208-223
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W2523029378
- Cited by
- 265
- References
- 32
- FWCI
- 26.69
- 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: Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore, and Japan during hot and humid season. https://app.cochat.ai/papers/10.1016/j.buildenv.2016.09.024
- The paper
- Damiati, S. A., Zaki, S. A., Rijal, H. B., & Wonorahardjo, S. (2016). Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore, and Japan during hot and humid season. Building and Environment. https://doi.org/10.1016/j.buildenv.2016.09.024
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.