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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Personal thermal comfort prediction using multi-physiological sensors: The design and development of deep neural network models based on individual preferences
Kanjana Haruehansapong, Mallika Kliangkhlao, Kirttayoth Yeranee, et al.
Building and Environment (2023) Vol. 245, pp. 110940-110940
Closed Access | Times Cited: 10

Showing 10 citing articles:

Comparative feasibility study of physiological signals from wristband-type wearable sensors to assess occupants' thermal comfort
Sung-Woo Moon, Sun Sook Kim, Byungjoo Choi
Energy and Buildings (2024) Vol. 308, pp. 114032-114032
Closed Access | Times Cited: 6
One-point-reference-based approach for multi-indoor microclimate prediction based on dynamic-environmental factors
Mallika Kliangkhlao, Panachat Aiamnam, Kasidit Boonchai, et al.
Journal of Building Engineering (2025), pp. 111945-111945
Closed Access
Local thermal sensation model with local skin temperature and local skin heat flux in a personalized heating microenvironment
Guoqing Yu, Renfu Lu, Xing Lv, et al.
Energy and Buildings (2025), pp. 115429-115429
Closed Access
Integrating Infrared Facial Thermal Imaging and Tabular Data for Multimodal Prediction of Occupants' Thermal Sensation
Haifeng Lan, Huiying Hou, Man Sing Wong
Building and Environment (2025), pp. 112814-112814
Closed Access
Dual-phase prediction model of passenger thermal sensation using facial thermal imaging and environmental factors
Xuejin Zhou, Zhihong Miao, M. Yuan, et al.
Case Studies in Thermal Engineering (2024) Vol. 58, pp. 104439-104439
Open Access | Times Cited: 1
Overall and local environmental collaborative control based on personal comfort model and personal comfort system
Yeyu Wu, Haihua Jiang, Weiming Chen, et al.
Applied Energy (2024) Vol. 371, pp. 123707-123707
Closed Access | Times Cited: 1
Visual Fatigue Prediction using Classification Model based on Physiological Responses of Occupants under Office Lightings
Dahyun Jung, Jongbaek An, Taehoon Hong, et al.
Journal of Building Engineering (2024), pp. 111146-111146
Closed Access | Times Cited: 1
The Contribution of Artificial Intelligence to Phase Change Materials in Thermal Energy Storage: From Prediction to Optimization
Shuli Liu, Junrui Han, Yongliang Shen, et al.
Renewable Energy (2024), pp. 121973-121973
Closed Access | Times Cited: 1
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 1
Electrodermal activity and heart rate variability–driven personal thermal comfort prediction and explanation
Mallika Kliangkhlao, Kanjana Haruehansapong, Kirttayoth Yeranee, et al.
Building and Environment (2024) Vol. 265, pp. 111921-111921
Closed Access
Interpretable general thermal comfort model based on physiological data from wearable bio sensors: Light Gradient Boosting Machine (LightGBM) and SHapley Additive exPlanations (SHAP)
Hyunsoo Kim, Gaang Lee, Hyeunguk Ahn, et al.
Building and Environment (2024), pp. 112127-112127
Closed Access
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