The DOI matches its Crossref record; 23 of the 24 references it cites were found in a registry or an index.
Influence of color temperature on comfort and preference for LED indoor lighting
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In the citing paper
“CCT is a measurement of the color temperature of a light [353].”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [353]
In the citing paper
“Although there is a strong correlation between CCT and user comfort, it turns out that user comfort in several countries is different and needs further evaluation.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [353]
In the citing paper
“It makes CCT a good objective measurement method to predict user comfort based on lighting quality.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [353]
In the citing paper
“CCT correlates with the subjective value of user comfort, which is mapped based on a Gaussian function.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [353]
In the citing paper
“Illuminance has a low multiple analysis of variance (MANOVA) value on user comfort, so it is not usable as a performance measure.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [353]
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Metadata
- Authors
- Wang, Q., Xu, H., Zhang, F., & Wang, Z.
- Affiliations
- Qilu University of Technology (CN)
- State Key Laboratory of Modern Optical Instruments (CN)
- Hangzhou Quality and Technical Supervision and Testing Institute (CN)
- Corresponding author
- Xu, Haisong
- Venue
- Optik
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 129
- Pages
- 21-29
- ISSN
- 0030-4026 (ISSN-L)
- OpenAlex
- W2532775641
- Cited by
- 119
- References
- 24
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 16 · 2023: 9 · 2022: 12 · 2021: 15 · 2020: 16 · 2019: 14 · 2018: 9 · 2017: 3
- FWCI
- 11.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Optik (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Color perception and design
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Color Science and Applications
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Keywords
- correlated color temperature, LED lighting, indoor lighting, visual comfort, lighting preferences, illuminance, subjective perception, prediction model
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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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.