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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:

Non-invasive measurements of thermal discomfort for thermal preference prediction based on occupants' adaptive behavior recognition
Yanchen Liu, Hao Li, Peiping Zheng, et al.
Building and Environment (2022) Vol. 228, pp. 109889-109889
Closed Access | Times Cited: 10

Showing 10 citing articles:

A method for recognizing individual dynamic thermal Adaptations using wireless signals
Min Xu, Yunsong Han, Nanxi Zhu, et al.
Energy and Buildings (2025), pp. 115448-115448
Closed Access
Thermal Comfort and Adaptive Occupant Behaviour in Open Plan Offices in India and Lithuania
Himanshu Patel Tuniki, Andrius Jurelionis, Ricardo Forgiarini Rupp, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 766-766
Open Access
Non-invasive human thermal adaptive behavior recognition based on privacy-friendly WiFi sensing in buildings: A review
Huakun Huang, Liwen Tan, Peiliang Wang, et al.
Building Simulation (2025)
Closed Access
Universal Quantification of Thermal Sensation Based on body movements and Personalized Prediction Model for Thermal Expression
Yuebo Meng, Tingting Chen, Yalin Zhang, et al.
Journal of Building Engineering (2025), pp. 112710-112710
Closed Access
Real-time machine learning-based recognition of human thermal comfort-related activities using inertial measurement unit data
Cheng Fan, Weilin He, Longhui Liao
Energy and Buildings (2023) Vol. 294, pp. 113216-113216
Closed Access | Times Cited: 7
Measuring Household Thermal Discomfort Time: A Japanese Case Study
Reza Nadimi, Amin Nazarahari, Koji Tokimatsu
Sustainability (2024) Vol. 16, Iss. 19, pp. 8457-8457
Open Access | Times Cited: 2
Skeleton-based Human Action Recognition in a Thermal Comfort Context
John Martins, Katherine A. Flanigan, Christopher McComb
(2023), pp. 377-384
Open Access | Times Cited: 5
Few-shot learning-based human behavior recognition model
V. Mahalakshmi, Mukta Sandhu, Mohammad Shabaz, et al.
Computers in Human Behavior (2023) Vol. 151, pp. 108038-108038
Closed Access | Times Cited: 4
Thermal Preference Prediction through Infrared Thermography Technology: Recognizing Adaptive Behaviors
Hongbin Li, Yanchen Liu, Huijun Wu, et al.
Building and Environment (2024) Vol. 262, pp. 111829-111829
Closed Access | Times Cited: 1
An IMU dataset for human thermal comfort activities identification: Experimental designs and applications
Weilin He, Cheng Fan, Zebin Wu, et al.
Energy and Built Environment (2023) Vol. 6, Iss. 1, pp. 66-79
Open Access | Times Cited: 1
Data Engineering Techniques for Efficient and Accurate Human Physical Activities Data Collection: a Summary of the State-of-the-art
Javidan Abdullayev, Andrea Zingoni
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 138-143
Closed Access
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