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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:

A machine learning led investigation to understand individual difference and the human-environment interactive effect on classroom thermal comfort
Haifeng Lan, Huiying Hou, Zhonghua Gou
Building and Environment (2023) Vol. 236, pp. 110259-110259
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Building information modelling-enabled multi-objective optimization for energy consumption parametric analysis in green buildings design using hybrid machine learning algorithms
Yang Liu, Tiejun Li, Wensheng Xu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113665-113665
Closed Access | Times Cited: 42
Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model
Ruiqi Guo, Bin Yang, Yuyao Guo, et al.
Building and Environment (2024) Vol. 254, pp. 111301-111301
Closed Access | Times Cited: 26
Occupant-centric HVAC and window control: A reinforcement learning model for enhancing indoor thermal comfort and energy efficiency
X. Liu, Zhonghua Gou
Building and Environment (2024) Vol. 250, pp. 111197-111197
Closed Access | Times Cited: 25
Understanding the relationship between 2D/3D variables and land surface temperature in plain and mountainous cities: Relative importance and interaction effects
Pinyang Luo, Bingjie Yu, Pengfei Li, et al.
Building and Environment (2023) Vol. 245, pp. 110959-110959
Closed Access | Times Cited: 23
Advancing personal thermal comfort prediction: A data-driven framework integrating environmental and occupant dynamics using machine learning
Maedeh Haghirad, Shahin Heidari, Hojat Hosseini
Building and Environment (2024) Vol. 262, pp. 111799-111799
Closed Access | Times Cited: 9
Thermal comfort in university classrooms in humid subtropical climate: Field study during all seasons
Diego Antônio Custódio, Enedir Ghisi, Ricardo Forgiarini Rupp
Building and Environment (2024) Vol. 258, pp. 111644-111644
Closed Access | Times Cited: 8
An intelligent thermal comfort control strategy for air conditioning of fuel cell vehicles
Donghai Hu, Chengyun Qiu, Dagang Lu, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123286-123286
Closed Access | Times Cited: 6
Machine learning-based analysis of microplastic-induced changes in anaerobic digestion parameters influencing methane yield
Zhenghui Gao, Zongqiang Ren, Tianyi Cui, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124627-124627
Open 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
Study of Factors Influencing Thermal Comfort at Tram Stations in Guangzhou Based on Machine Learning
Xin Chen, Hai Zhao, Beini Wang, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 865-865
Open Access
Combined influence of multi-sensory comfort in winter open spaces and its association with environmental factors: Wuhan as a case study
Kun Li, Minghao Liu
Building and Environment (2023) Vol. 248, pp. 111037-111037
Closed Access | Times Cited: 12
Prediction of occupant thermal state via infrared thermography and explainable AI
Shaoxing Zhang, Runming Yao, Hong Wei, et al.
Energy and Buildings (2024) Vol. 312, pp. 114153-114153
Closed Access | Times Cited: 4
Identification and Application of the Best-Suited Machine Learning Algorithm Based on Thermal Comfort Data Characteristic: A Data-Driven Approach
Pravin Diliban Nadarajah, H.K.I.S. Lakmal, Manoj Kumar Singh, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110319-110319
Closed Access | Times Cited: 4
Machine learning based thermal comfort prediction in office spaces: Integrating SMOTE and SHAP methods
Yiliang Li, Feng Gao, Jiayue Yu, et al.
Energy and Buildings (2025), pp. 115267-115267
Closed Access
Nonlinear Effects of Human Settlements on Seasonal Land Surface Temperature Variations at the Block Scale: A Case Study of the Central Urban Area of Chengdu
Muze Zhang, Tong Hou, Yuping Ma, et al.
Land (2025) Vol. 14, Iss. 4, pp. 693-693
Open Access
Exploring Green Building Certification Credit Selection: A Model Based on Explainable Machine Learning
Yixin Li, Xiaodong Li, Dingyuan Ma, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110279-110279
Closed Access | Times Cited: 3
Examining the non-linear relationship between urban form and air temperature at street level: A case of Hong Kong
Lai Tian, Tongping Hao, Xinyu He, et al.
Building and Environment (2024) Vol. 264, pp. 111884-111884
Closed Access | Times Cited: 3
Revealing the impact of Urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning
Zi Wang, Rui Zhou, Jin Rui, et al.
Sustainable Cities and Society (2024), pp. 106046-106046
Closed Access | Times Cited: 2
A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices
Junsoo Lee, Seungwon Seo, Soeun Han, et al.
Sustainable Cities and Society (2024), pp. 106085-106085
Closed Access | Times Cited: 2
Bayesian meta-learning for personalized thermal comfort modeling
Hejia Zhang, Seungjae Lee, Athanasios Tzempelikos
Building and Environment (2023) Vol. 249, pp. 111129-111129
Closed Access | Times Cited: 4
A sleep staging model based on core body temperature rhythm
Xinbo Xu, Zhiwei Lian
Energy and Buildings (2024) Vol. 310, pp. 114099-114099
Closed Access | Times Cited: 1
User-centric approach to optimizing thermal comfort in university classrooms: Utilizing computer vision and Q-XGBoost reinforcement learning
Haifeng Lan, Huiying Hou, Zhonghua Gou
Energy and Buildings (2024), pp. 114808-114808
Closed Access | Times Cited: 1
Unveiling the effects of artificial intelligence and green technology convergence on carbon emissions: An explainable machine learning-based approach
Tianlong Shan, Shuai Feng, Kaijian Li, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123657-123657
Closed Access | Times Cited: 1
Assessing a thermoelectric radiative cooling partition as a personalised comfort system using empirical experiments enhanced by digital shadow visualisation
Ammar Osman, Mathias Artus, Hayder Alsaad, et al.
Building and Environment (2023) Vol. 245, pp. 110833-110833
Closed Access | Times Cited: 3
Predicting students’ thermal sensation votes in university libraries taking into account their mood states
Dadi Zhang, Huiying Hou, Tsz-Wun Tsang, et al.
Indoor and Built Environment (2024) Vol. 33, Iss. 5, pp. 859-875
Closed Access
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