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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:

Predicting the energy consumption in buildings using the optimized support vector regression model
Wei Cai, Xiaodong Wen, Chaoen Li, et al.
Energy (2023) Vol. 273, pp. 127188-127188
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system
Yuan Gao, Shanrui Shi, Shohei Miyata, et al.
Energy (2024) Vol. 291, pp. 130344-130344
Closed Access | Times Cited: 27
Predicting Daily Heating Energy Consumption in Residential Buildings through Integration of Random Forest Model and Meta-Heuristic Algorithms
Weiyan Xu, Jielei Tu, Ning Xu, et al.
Energy (2024) Vol. 301, pp. 131726-131726
Closed Access | Times Cited: 24
Optimising building heat load prediction using advanced control strategies and Artificial Intelligence for HVAC system
Osama Khan, Mohd Parvez, Mohammad Seraj, et al.
Thermal Science and Engineering Progress (2024) Vol. 49, pp. 102484-102484
Closed Access | Times Cited: 16
Sensor deployment configurations for building energy consumption prediction
Nidia Bucarelli, Nora El-Gohary
Energy and Buildings (2024) Vol. 308, pp. 113888-113888
Closed Access | Times Cited: 14
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 9
Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system
Zhichu Wang, Cheng Zeng, Zishang Zhu, et al.
Building Services Engineering Research and Technology (2025)
Open Access | Times Cited: 1
AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access | Times Cited: 1
Predicting Energy Consumption of Residential Buildings Using Metaheuristic-optimized Artificial Neural Network Technique in Early Design Stage
Mosbeh R. Kaloop, Furquan Ahmad, Pijush Samui, et al.
Building and Environment (2025), pp. 112749-112749
Closed Access | Times Cited: 1
Predicting the PCM-incorporated building's performance using optimized linear kernel and tree-based machine learning methods
Kashif Nazir, Shazim Ali Memon, Assemgul Saurbayeva
Journal of Energy Storage (2024) Vol. 94, pp. 112495-112495
Closed Access | Times Cited: 8
Machine learning based dynamic super twisting sliding mode controller for increase speed and accuracy of MPPT using real-time data under PSCs
Mehmet Yılmaz, Alirıza Kaleli, Muhammed Fatih Çorapsız
Renewable Energy (2023) Vol. 219, pp. 119470-119470
Closed Access | Times Cited: 16
Thermal performance and energy flow analysis of a PV/T coupled ground source heat pump system
Tao Li, Xing Wang, Guannan Li, et al.
Applied Thermal Engineering (2023) Vol. 240, pp. 122265-122265
Closed Access | Times Cited: 16
Enhancing Building Energy Efficiency: An Integrated Approach to Predicting Heating and Cooling Loads using Machine Learning and Optimization Algorithms
Tianfei Gao, Xu Han, J. Wang, et al.
Journal of Building Engineering (2024), pp. 110759-110759
Closed Access | Times Cited: 6
A new approach for indoor environment design of passive solar buildings in plateau areas
Jin Li, Yin Zhang, Tinglei Yue
Sustainable Energy Technologies and Assessments (2024) Vol. 63, pp. 103669-103669
Closed Access | Times Cited: 5
Analysis and Prediction of Energy Consumption in Office Buildings with Variable Refrigerant Flow Systems: A Case Study
Xiaojie Zhou, Ning Wang, Jixin Zou, et al.
Journal of Building Engineering (2024) Vol. 97, pp. 110936-110936
Closed Access | Times Cited: 5
Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability
Guangfa Zheng, Zao Feng, Mingkai Jiang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2162-2162
Open Access | Times Cited: 12
Combining style generative adversarial networks with particle swarm optimisation-support vector regression to design affective social robot for public health intervention
Xipei Ren, N. Y. Wang, J. Pan, et al.
Journal of Engineering Design (2024), pp. 1-31
Closed Access | Times Cited: 4
Entropy-driven deep reinforcement learning for HVAC system optimization
Chen Zhang, Zhi Tan
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
Zhongjiao Ma, Z. Yan, M. He, et al.
AIMS energy (2025) Vol. 13, Iss. 1, pp. 35-85
Open Access
A hybrid model for real-time cooling load prediction and terminal control optimization in multi-zone buildings
Run Zheng, Lei Lei
Journal of Building Engineering (2025), pp. 112120-112120
Closed Access
Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction
Birce Dağkurs, İsmail Atacak
PeerJ Computer Science (2025) Vol. 11, pp. e2680-e2680
Open Access
Thermodynamic Optimization of Building HVAC Systems Through Dynamic Modeling and Advanced Machine Learning
Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Ahmed Ibrahim, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 1955-1955
Open Access
Application of machine learning models for PM2.5 prediction in bengaluru using precursor air pollutants and meteorological data
Gourav Suthar, Saurabh Singh
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
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
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions
Guanzhong Chen, Shengze Lu, Shiyu Zhou, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3086-3086
Open Access
Rapid prediction of the flow fields of fluidized beds with the varying flow regimes by coupling CFD and machine learning
Hang Shu, Xuejiao Liu, Xi Chen, et al.
Chemical Engineering Science (2025), pp. 121635-121635
Closed Access
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