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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 review of data-driven approaches for prediction and classification of building energy consumption
Yixuan Wei, Xingxing Zhang, Yong Shi, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 82, pp. 1027-1047
Closed Access | Times Cited: 649

Showing 26-50 of 649 citing articles:

Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings
Kadir Amasyali, Nora El-Gohary
Renewable and Sustainable Energy Reviews (2021) Vol. 142, pp. 110714-110714
Closed Access | Times Cited: 154
A review of internal and external influencing factors on energy efficiency design of buildings
Shuo Chen, Guomin Zhang, Xiaobo Xia, et al.
Energy and Buildings (2020) Vol. 216, pp. 109944-109944
Closed Access | Times Cited: 152
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105287-105287
Closed Access | Times Cited: 149
Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 146
The interaction between humans and buildings for energy efficiency: A critical review
Timuçin Harputlugil, Pieter de Wilde
Energy Research & Social Science (2020) Vol. 71, pp. 101828-101828
Closed Access | Times Cited: 138
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: 138
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 132
Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence
Yan Zhang, Bak Koon Teoh, Maozhi Wu, et al.
Energy (2022) Vol. 262, pp. 125468-125468
Closed Access | Times Cited: 114
Modelling heating and cooling energy demand for building stock using a hybrid approach
Xinyi Li, Runming Yao
Energy and Buildings (2021) Vol. 235, pp. 110740-110740
Open Access | Times Cited: 107
Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms
Yuanjin Xu, Fei Li, Armin Asgari
Energy (2021) Vol. 240, pp. 122692-122692
Closed Access | Times Cited: 104
Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Yasaman Balali, Adrian Chong, Andrew Busch, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 183, pp. 113496-113496
Open Access | Times Cited: 51
Building automation systems for energy and comfort management in green buildings: A critical review and future directions
Guofeng Qiang, Shu Tang, Jianli Hao, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 179, pp. 113301-113301
Closed Access | Times Cited: 48
Deep learning hyperparameter optimization: Application to electricity and heat demand prediction for buildings
Azita Morteza, Amir Abbas Yahyaeian, Marzieh Mirzaeibonehkhater, et al.
Energy and Buildings (2023) Vol. 289, pp. 113036-113036
Closed Access | Times Cited: 45
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction
Lei Lei, Suola Shao, Lixia Liang
Energy (2023) Vol. 288, pp. 129795-129795
Closed Access | Times Cited: 40
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Xuerong Cui, Minhyun Lee, Choongwan Koo, et al.
Energy and Buildings (2024) Vol. 309, pp. 113997-113997
Closed Access | Times Cited: 36
Achieving heat storage coatings from ethylene vinyl acetate copolymers and phase change nano-capsules with excellent flame-retardant and thermal comfort performances
Haoxin Chen, Yanqi Ma, Xinxin Sheng, et al.
Progress in Organic Coatings (2024) Vol. 192, pp. 108478-108478
Closed Access | Times Cited: 33
Modelling building HVAC control strategies using a deep reinforcement learning approach
Anh Tuan Nguyen, Duy Hoang Pham, Bee Lan Oo, et al.
Energy and Buildings (2024) Vol. 310, pp. 114065-114065
Closed Access | Times Cited: 27
Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach
Behnam Sadaghat, Sadegh Afzal, Ali Javadzade Khiavi
Expert Systems with Applications (2024) Vol. 251, pp. 123934-123934
Closed Access | Times Cited: 17
From White to Black-Box Models: A Review of Simulation Tools for Building Energy Management and Their Application in Consulting Practices
Amir Shahcheraghian, Hatef Madani, Adrian Ilinca
Energies (2024) Vol. 17, Iss. 2, pp. 376-376
Open Access | Times Cited: 15
Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition
Yuekuan Zhou, Siqian Zheng, Jlm Jan Hensen
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114466-114466
Closed Access | Times Cited: 15
Recent improvements to heating, ventilation, and cooling technologies for buildings based on renewable energy to achieve zero-energy buildings: A systematic review
Baseem A. Aljashaami, Bashar Mahmood Ali, Sajjad A. Salih, et al.
Results in Engineering (2024) Vol. 23, pp. 102769-102769
Open Access | Times Cited: 15
Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm
Zengxi Feng, Jianhu An, Mingyue Han, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109612-109612
Closed Access | Times Cited: 14
Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm
Wen Xu, Xianguo Wu, Shishu Xiong, et al.
Energy (2025), pp. 135283-135283
Closed Access | Times Cited: 1
Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
Guoyin Fu
Energy (2018) Vol. 148, pp. 269-282
Closed Access | Times Cited: 159

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