Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms
Bin Yang, Xiaojing Li, Yihang Liu, et al.
Building and Environment (2022) Vol. 215, pp. 108970-108970
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
Hainan Yan, Ke Yan, Guohua Ji
Building and Environment (2022) Vol. 218, pp. 109081-109081
Closed Access | Times Cited: 68
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
Personal thermal comfort models based on physiological measurements – A design of experiments based review
Kai Chen, Qian Xu, Berlynette Leow, et al.
Building and Environment (2022) Vol. 228, pp. 109919-109919
Closed Access | Times Cited: 43
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: 30
Interpretable prediction of thermal sensation for elderly people based on data sampling, machine learning and SHapley Additive exPlanations (SHAP)
Guozhong Zheng, Yuqin Zhang, Xuhui Yue, et al.
Building and Environment (2023) Vol. 242, pp. 110602-110602
Closed Access | Times Cited: 24
Recognition and prediction of elderly thermal sensation based on outdoor facial skin temperature
J. Wang, Qiong Li, Guodong Zhu, et al.
Building and Environment (2024) Vol. 253, pp. 111326-111326
Closed Access | Times Cited: 8
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
Yeqin Shen, Yubing Hu, Kai Cheng, et al.
Building Simulation (2024) Vol. 17, Iss. 5, pp. 819-838
Closed Access | Times Cited: 7
Experimental study on the physiological parameters of occupants under different temperatures and prediction of their thermal comfort using machine learning algorithms
Jianlin Ren, Ran Zhang, Xiaodong Cao, et al.
Journal of Building Engineering (2024) Vol. 84, pp. 108676-108676
Closed 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
Machine learning-based prediction of thermal comfort: exploring building types, climate, ventilation strategies, and seasonal variations
Ali Berkay Avcı
Building Research & Information (2025), pp. 1-18
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
Using SHAP and Machine Learning for Dynamic Thermal Comfort Estimation during temperature ramp conditions with infrared camera
Xiaojing Li, Jiajun Xu, Jingsi Zhang, et al.
Building and Environment (2025), pp. 112824-112824
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
A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Design
Biao Yin, Lijun Wang, Yuan Xu, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 895-895
Open Access
Development of an automatic personal comfort system (APCS) based on real-time thermal sensation prediction
Yeyu Wu, Bin Cao, Yingxin Zhu
Building and Environment (2023) Vol. 246, pp. 110958-110958
Closed Access | Times Cited: 14
Non-invasive infrared thermography technology for thermal comfort: A review
Peiping Zheng, Yanchen Liu, Huijun Wu, et al.
Building and Environment (2023) Vol. 248, pp. 111079-111079
Closed Access | Times Cited: 14
Analysis of Variables Affecting Indoor Thermal Comfort in Mediterranean Climates Using Machine Learning
Pablo Aparicio-Ruiz, Elena Barbadilla-Martín, José Guadix Martín, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2215-2215
Open Access | Times Cited: 13
Analysis of the impact of indoor thermal comfort data characteristics on dataset quality
Chang Chang, X.M. Li, Lin Duanmu, et al.
Energy and Buildings (2024) Vol. 310, pp. 114079-114079
Closed Access | Times Cited: 4
Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110015-110015
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
Exercise and resting periods: Thermal comfort dynamics in gym environments
Ali Berkay Avcı, Görkem Aybars Balcı, Tahsin Başaran
Building Simulation (2024) Vol. 17, Iss. 9, pp. 1557-1578
Open Access | Times Cited: 4
Machine learning-based prediction of indoor thermal comfort in traditional Chinese dwellings: A case study of Hankou Lifen
Xi Hui, Bo Wang, WanJun Hou
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 105048-105048
Open Access | Times Cited: 4
Optimizing personal comfort: Short-term personalized heating impact on sanitation workers' thermo-physiological responses
Chujian Gu, Yang Li, Shi Chen, et al.
Building and Environment (2024), pp. 112112-112112
Closed Access | Times Cited: 4
Physiological sensing of personal thermal comfort with wearable devices in fan-assisted cooling environments in the tropics
Chao Cen, Siyu Cheng, Edward Ng
Building and Environment (2022) Vol. 225, pp. 109622-109622
Closed Access | Times Cited: 21
Extreme learning machine evolved by fuzzified hunger games search for energy and individual thermal comfort optimization
Le Wang, Mohammad Khishe, Mokhtar Mohammadi, et al.
Journal of Building Engineering (2022) Vol. 60, pp. 105187-105187
Closed Access | Times Cited: 19
Page 1 - Next Page

Scroll to top