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:

A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
Wuxia Zhang, Yupeng Wu, John Kaiser Calautit
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112704-112704
Open Access | Times Cited: 137

Showing 26-50 of 137 citing articles:

A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 5

Dynamic Personalized Thermal Comfort Model:Integrating Temporal Dynamics and Environmental Variability with Individual Preferences
Abdulrazaq AbdulRaheem, Seungho Lee, Im Y. Jung
Journal of Building Engineering (2025), pp. 111938-111938
Open Access

Comprehensive assessment method for building environmental performance: trade-off between indoor environmental quality and life cycle carbon emissions
Zhao Dong, Xiaoyu Luo, Kang Zhao, et al.
Building and Environment (2025) Vol. 272, pp. 112598-112598
Closed Access

On the use of AI for energy efficiency and IEQ in buildings: Building HOPE platform
Ehsan Asadi, Manuel Gameiro da Silva, James Ogundiran
Elsevier eBooks (2025), pp. 235-255
Closed Access

The effects of personal comfort systems on sleep: A systematic review
Xinbo Xu, Hui Zhang, Stefano Schiavon, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115474-115474
Closed Access

An IoT and 1D Convolutional Neural Network‐Based Method for Smart Building Energy Management
Aleena Swetapadma, N. Behera, Harsh Saran, et al.
(2025), pp. 291-300
Closed Access

Machine learning-based analysis of workers' exposure and detection to volatile organic compounds (VOC)
Abdelrahman Eid, Shehdeh Jodeh, A. Chakir, et al.
International Journal of Environmental Science and Technology (2025)
Closed Access

Evaluating the Performance of Machine Learning Models for Energy Load Prediction in Residential HVAC Systems
Paul Boadu Asamoah, Ekundayo Shittu
Energy and Buildings (2025), pp. 115517-115517
Closed Access

Optimizing Building Energy Management Leveraging Adaptive Edge Computing for Enhanced Efficiency and Occupant Well-Being
Sergio Márquez-Sánchez, Sergio Alonso-Rollán, Hayla Nahom Abishu, et al.
Lecture notes in networks and systems (2025), pp. 236-248
Closed Access

Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access

Enhancing daily reference evapotranspiration (ETref) prediction across diverse climatic zones: A pattern mining approach with DIRECTORS model
Maryam Amiri, Saeed Sharafi, Mehdi Mohammadi Ghaleni
Journal of Hydrology (2025), pp. 133045-133045
Closed Access

Design strategies for renovation of public space in Beijing's traditional communities based on measured microclimate and thermal comfort
Ning Li, Zhao Guo, Wenying Geng, et al.
Sustainable Cities and Society (2023) Vol. 99, pp. 104927-104927
Closed Access | Times Cited: 15

Physiological responses and data-driven thermal comfort models with personal conditioning devices (PCD)
Lingzhe Wang, Daniel Dalgo, Nicholas Mattise, et al.
Building and Environment (2023) Vol. 236, pp. 110290-110290
Open Access | Times Cited: 13

Where should the thermal image sensor of a smart A/C look?-Occupant thermal sensation model based on thermal imaging data
Junmeng Lyu, Heng Du, Zisheng Zhao, et al.
Building and Environment (2023) Vol. 239, pp. 110405-110405
Closed Access | Times Cited: 13

Using Artificial Neural Networks with GridSearchCV for Predicting Indoor Temperature in a Smart Home
Talal Alshammari
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13437-13443
Open Access | Times Cited: 4

A Systematic Review of Occupancy Pattern in Urban Building Energy Modeling: From Urban to Building-scale
Jiawen Ren, Xin Zhou, Xing Jin, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110307-110307
Closed Access | Times Cited: 4

Impact of natural ventilation and outdoor environment on indoor air quality and occupant health in low-income tropical housing
Derrick Kajjoba, Hillary Kasedde, John Baptist Kirabira, et al.
Energy Reports (2024) Vol. 12, pp. 4184-4194
Open Access | Times Cited: 4

Machine Learning based Occupant Behavior Prediction in Smart Building to Improve Energy Efficiency
Nina Fatehi, Alexandros Politis, Lin Li, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 11

Enhancing thermal comfort through leading-edge design, monitoring, and optimization technologies: A review
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 11

How do people set air conditioning temperature setpoint in urban domestic–Behavior model in Chinese three climate zones based on historical usage data
Junmeng Lyu, Jinbo Li, Zisheng Zhao, et al.
Energy and Buildings (2023) Vol. 284, pp. 112856-112856
Closed Access | Times Cited: 10

Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts
Mengjie Han, İlkim Canlı, Juveria Shah, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 371-371
Open Access | Times Cited: 3

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