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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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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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Citations
Cites
Action Spectrum for Melatonin Regulation in Humans: Evidence for a Novel Circadian Photoreceptor
Brainard, G. C., Hanifin, J. P., Greeson, J. M., Byrne, B., Glickman, G., Gerner, E., & Rollag, M. D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-06405.2001 · Cited by 1,930
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Ohno, Y. (2005) · Optical Engineering · doi:10.1117/1.2130694 · Cited by 311
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Lighting appraisal, well-being and performance in open-plan offices: A linked mechanisms approach
Veitch, J. A., Newsham, G., Boyce, P. R., & Jones, C. C. (2008) · Lighting Research & Technology · doi:10.1177/1477153507086279 · Cited by 246
Appearance of lit environment and its relevance in lighting design: Experimental study
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Tubular luminescence lamps for general illumination
Kruithof, A. A. (1941) · Philips technical review · Cited by 183
Research works printed but not linked: 4
- Fleischer, 2001, Effect of brightness distribution and light colours on office staff, In: 9th European Lighting Conference Proceeding Reykjavik, 77
- Henri, 2006, Influence of the colour temperature of the preferred lighting level in an industrial work area devoid of daylight, Ingineria Iluminatului, 18, 25
- Han, 2002, Effect of illuminance, CCT and Décor on the perception of lighting, Rensselaer Polytechnic Institute
- Oi, 2007, Preferred combinations between illuminance and color temperature in several settings for daily living activities, pp. 214
Cited by
Items 101–124 of 124
Bhattacharya, S., Bhattacharya, S., Das, A., Mahata, S., & Biswas, S. (2025) · Facilities · doi:10.1108/f-10-2024-0146 · Cited by 1
Optimized light sources for enhancing color discrimination in people with low vision
Radsamrong, A. (2019) · Chula Digiverse · doi:10.58837/chula.the.2019.2 · Cited by 1
Spectral Power Distributions with High Gamut-based Metric Values
Huang, Z., Lin, H., Wu, B., Wang, W., & Liu, Q. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-3663-8_2
Sezer, B. (2020) · Bilkent University Institutional Repository (Bilkent University)
Deep Learning Neural Network for CAP Modulation in Visible Light Communication SystemPreprint
Prakash, V., Manimegalai, C. T., Kalimuthu, K., & Gauni, S. (2021) · Research Square · doi:10.21203/rs.3.rs-554306/v1
Lighting and Emotions: A Brief Review
Gharib, I., & Shohdy, M. (2023) · Journal of Design Sciences and Applied Arts/Journal of Design Sciences and Applied Arts · doi:10.21608/jdsaa.2023.177046.1240
Diao, J., Zhao, S., Yao, S., Cong, Y., Yuan, J., & Li, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4690715
Guan, Y., Yang, M., Zhang, P., Song, C., & Liu, Q. (2023) · China International Forum on Solid State Lighting & International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) · doi:10.1109/sslchinaifws60785.2023.10399723
Dynamic Color Design Model Construction Considering Ambient Light Changes
He, B. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-3078
Jiang, A., & Westland, S. (2024) · Vision, illusion and perception · doi:10.1007/978-3-031-70920-3_10
Caccia, G., Canato, A., Cadena, J. D. B., Speroni, A., Cavaglià, M., Mainini, A. G., & Poli, T. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5339294
Effect of indoor illuminance on human short- and long-term memory performance
Hsieh, M.-C., Qu, H., Huang, D., Gu, X., & Lee, Y. (2025) · Lighting Research & Technology · doi:10.1177/14771535251351573
Exploring effects of lighting in physical and virtual spaces
Steffen, R. (2023) · Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology) · doi:10.26204/kluedo/7316
Psihološki aspekti temperature boje svjetlosti
Jeremić, Ž., & Ivanec, D. (2025) · Psihologijske teme · doi:10.31820/pt.34.3.6
Gül, E. Ö., & Kavraz, M. (2025) · Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD) · doi:10.30785/mbud.1676804
Effects of Low Correlated Color Temperature Lighting on Relaxation
Chen, B., Zhang, M., Guo, L., Mao, J., & Dai, Q. (2025) · China International Forum on Solid State Lighting & International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) · doi:10.1109/sslchinaifws69008.2025.11314980
Huang, Z., & Ye, L. (2026) · Architectural Science Review · doi:10.1080/00038628.2026.2627914
Sikora, R., Korzeniewska, E., Markiewicz, P., Szelągowski, A., & Serwach, M. (2026) · Scientific Reports · doi:10.1038/s41598-026-55653-z
Lighting and Spatial Proportions in Virtual Reality: Patterns of Comfort and Task Performance
Son, S., & Yeom, D. J. (2026) · E3S Web of Conferences · doi:10.1051/e3sconf/202671605005
Lighting and Spatial Proportions in Virtual Reality: Patterns of Comfort and Task Performance
Son, S., & Yeom, D. J. (2026) · Springer Link (Chiba Institute of Technology) · doi:10.1051/e3sconf/202671605005/pdf
Chen, Z., Gao, Y., & Liu, Q. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114423
Yang, J., Hu, Z., Lu, F., Lu, J., & Li, Y. (2026) · Developments in the Built Environment · doi:10.1016/j.dibe.2026.101056
Kagimoto, A., Okuda, S., Okajima, K., Tatsumoto, M., & Hirata, K. (2026) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1080/15502724.2026.2736824
Son, S. (2026) · TigerPrints (Clemson University)
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
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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.
