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 comparative study of machine learning and deep learning methods for energy balance prediction in a hybrid building-renewable energy system
Mohammad Amin Mirjalili, Alireza Aslani, Rahim Zahedi, et al.
Sustainable Energy Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 101

ENHANCING ENERGY EFFICIENCY WITH AI: A REVIEW OF MACHINE LEARNING MODELS IN ELECTRICITY DEMAND FORECASTING
Adebayo Olusegun Aderibigbe, Emmanuel Chigozie Ani, Peter Efosa Ohenhen, et al.
Engineering Science & Technology Journal (2023) Vol. 4, Iss. 6, pp. 341-356
Open Access | Times Cited: 30

Demand side management optimization and energy labeling of multi-purpose buildings
Amir Hossein Heydari, Ramin Haghighi Khoshkhoo, Rahim Zahedi, et al.
Journal of Building Engineering (2024) Vol. 88, pp. 109143-109143
Closed Access | Times Cited: 11

A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey
Derya Betul Unsal, Ahmet Aksöz, Saadin Oyucu, et al.
Sustainability (2024) Vol. 16, Iss. 7, pp. 2894-2894
Open Access | Times Cited: 10

A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
Francesca Villano, Gerardo Maria Mauro, Alessia Pedace
Thermo (2024) Vol. 4, Iss. 1, pp. 100-139
Open Access | Times Cited: 8

Advanced bibliometric analysis on water, energy, food, and environmental nexus (WEFEN)
Armin Tayefeh, Mahmoud Abdous, Rahim Zahedi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 47, pp. 103556-103575
Closed Access | Times Cited: 15

Active learning-based machine learning approach for enhancing environmental sustainability in green building energy consumption
Shahid Mahmood, Huaping Sun, Amel Ali Alhussan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Production of Renewable Energy through Photovoltaic Technology Utilizing Metaheuristic Algorithms for Rural Electrification
B. Suresh Babu, Sk. Fakruddin Babavali, T. Manikumar, et al.
SSRN Electronic Journal (2025)
Closed Access

Predicting Energy Consumption of an Educational Building Using Group Method of Data Handling Based on Weather Data
Mehran Kazemi Chahardeh, Masoud Afshari, Ali Maboudi Reveshti
International Journal of Thermofluids (2025), pp. 101067-101067
Open Access

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

Optimizing Solar Panel Systems using Machine Learning and Ant Colony Optimization
M. Murugesan
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 238-248
Open Access | Times Cited: 1

Optimal configuration of energy storage system capacity in traction power supply system considering photovoltaic consumption
Wei Zhang, Xiaoqiang Chen, Ying Wang
Archives of Electrical Engineering (2024), pp. 219-233
Open Access

Integrating Machine Learning and IoT Technologies for Advancements in Solar Energy Systems
N. V. Giridharan, M. Marimuthu, V. Gomathy, et al.
(2024), pp. 1699-1705
Closed Access

Comparative analysis of ANN and ANFIS models for solar energy prediction: Advancing forecasting accuracy in photovoltaic systems
P. Vijayalakshmi, S. Buvaneswari, Muthukumaran Harikumaran, et al.
AIP conference proceedings (2024) Vol. 3231, pp. 040008-040008
Closed Access

Energy logistics
Irene Izco, Veronika Tsertsvadze, Adrián Serrano-Hernández, et al.
Elsevier eBooks (2024)
Closed Access

Enhanced multilevel autism classification for children using eye-tracking and hybrid CNN-RNN deep learning models
Suresh Cheekaty, G. Muneeswari
Neural Computing and Applications (2024)
Closed Access

Machine Learning-Based Analysis of Hardness in Polypropylene/Carbon Nanotube and Low-DensityPolyethylene/Carbon Nanotube Composites
Harshit Sharma, Gaurav Arora, Raj Kumar, et al.
Research Square (Research Square) (2024)
Closed Access

Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy Production
Behzad Pirouz, Francesca Guerriero
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4663-4672
Closed Access

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