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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 Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms
Fateme Dinmohammadi, Yuxuan Han, Mahmood Shafiee
Energies (2023) Vol. 16, Iss. 9, pp. 3748-3748
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 16
Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators
Behrouz Mehdizadeh Khorrami, Alireza Soleimani, Anna Pinnarelli, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1163-1177
Open Access | Times Cited: 17
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
Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus
Hirou Karimi, Mohammad Anvar Adibhesami, Siamak Hoseinzadeh, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1342-1342
Open Access | Times Cited: 5
Using machine learning techniques to identify major determinants of electricity usage in residential buildings of Pakistan
Muhammad Sohaib Jarral, Khuram Pervez Amber, Taqi Ahmad Cheema, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111800-111800
Closed Access
Promoting sustainable development goals through energy-related behaviors of household occupants: Fostering sustainable energy solutions in developing countries
Mohammad M. Hamed, Aseel Alkhreasha, Ahmad AlShaer, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115511-115511
Closed Access
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
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Improving Energy Efficiency in Buildings with an IoT-Based Smart Monitoring System
Fateme Dinmohammadi, Anaah M. Farook, Mahmood Shafiee
Energies (2025) Vol. 18, Iss. 5, pp. 1269-1269
Open Access
Optimizing Early-Stage Design for Energy-Efficient Schools in Bandiagara, Mali
Shima Zanjirei, M. J. S. Davoodi, Elham Sadeghi, et al.
Deleted Journal (2025) Vol. 18, Iss. 1, pp. 70-100
Closed Access
Evaluation of the Suitability of Using Artificial Neural Networks in Assessing the Effectiveness of Greywater Heat Exchangers
Mariusz Starzec, Sabina Kordana, Beata Piotrowska
Sustainability (2024) Vol. 16, Iss. 7, pp. 2790-2790
Open Access | Times Cited: 4
Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa
Donatien Koulla Moulla, David Attipoe, Ernest Mnkandla, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4365-4365
Open Access | Times Cited: 3
An advanced hybrid deep learning model for accurate energy load prediction in smart building
R. Sunder, R Sreeraj, Vince Paul, et al.
Energy Exploration & Exploitation (2024) Vol. 42, Iss. 6, pp. 2241-2269
Open Access | Times Cited: 3
Modeling Approaches for Residential Energy Consumption: A Literature Review
Thomas Nacht, Robert Pratter, Johanna Ganglbauer, et al.
Climate (2023) Vol. 11, Iss. 9, pp. 184-184
Open Access | Times Cited: 9
An Advanced Explainable Belief Rule-Based Framework to Predict the Energy Consumption of Buildings
Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson
Energies (2024) Vol. 17, Iss. 8, pp. 1797-1797
Open Access | Times Cited: 2
Energy Consumption Analysis and Characterization of the Residential Sector in the US towards Sustainable Development
Khaled Bawaneh, S. K. Das, Md. Rasheduzzaman
Energies (2024) Vol. 17, Iss. 11, pp. 2789-2789
Open Access | Times Cited: 2
Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
Physics-informed ensemble learning with residual modeling for enhanced building energy prediction
Zhihao Ma, Gang Yi Jiang, Jianli Chen
Energy and Buildings (2024), pp. 114853-114853
Closed Access | Times Cited: 2
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115161-115161
Closed Access | Times Cited: 2
Multi-Objective Plum Tree Algorithm and Machine Learning for Heating and Cooling Load Prediction
Adam Słowik, Dorin Moldovan
Energies (2024) Vol. 17, Iss. 12, pp. 3054-3054
Open Access | Times Cited: 1
Research on Building Energy Consumption Prediction Based on Improved PSO Fusion LSSVM Model
Suli Zhang, Yiting Chang, Hui Li, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4329-4329
Open Access | Times Cited: 1
A Novel Intelligent Scheme for Building Energy Prediction Based On Machine Learning and Deep Learning Algorithms
M Jayashankara, Prasenjit Chanak, Sanjay Kumar Singh
(2024)
Closed Access
Energy efficiency and conservation using machine learning
Akshay Bhuvaneswari Ramakrishnan, T. S. Murugesh, Sini Raj Pulari, et al.
Elsevier eBooks (2024), pp. 69-78
Closed Access
ANN prediction model to improve employees’ thermal satisfaction in tropical green office buildings
Wasudha Prabodhani Abeyrathna, R.I.S. Ariyarathna, R.U. Halwatura, et al.
Asian Journal of Civil Engineering (2023)
Closed Access | Times Cited: 1
Correction: Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators
Behrouz Mehdizadeh Khorrami, Alireza Soleimani, Anna Pinnarelli, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 2349-2351
Open Access | Times Cited: 1
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