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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:

Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions
Olusola Bamisile, Ariyo Oluwasanmi, Chukwuebuka Joseph Ejiyi, et al.
International Journal of Energy Research (2021) Vol. 46, Iss. 8, pp. 10052-10073
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Tobi Michael Alabi, Emmanuel Imuetinyan Aghimien, Favour David Agbajor, et al.
Renewable Energy (2022) Vol. 194, pp. 822-849
Closed Access | Times Cited: 136
Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data
R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, et al.
International Journal of Photoenergy (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 57
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 53
A state of art review on estimation of solar radiation with various models
Ali Etem Gürel, Ümit Ağbulut, Hüseyin Bakır, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13167-e13167
Open Access | Times Cited: 46
A Novel Machine Learning Approach for Solar Radiation Estimation
Hasna Hissou, Said Benkirane, Azidine Guezzaz, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10609-10609
Open Access | Times Cited: 45
A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting
Hakan Açıkgöz
Applied Energy (2021) Vol. 305, pp. 117912-117912
Closed Access | Times Cited: 97
Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
Ali Sohani, Hoseyn Sayyaadi, Cristina Cornaro, et al.
Journal of Cleaner Production (2022) Vol. 364, pp. 132701-132701
Open Access | Times Cited: 69
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Measurement (2022) Vol. 202, pp. 111759-111759
Open Access | Times Cited: 69
Solar Irradiance Forecasting to Short-Term PV Power: Accuracy Comparison of ANN and LSTM Models
Victor Hugo Wentz, Joylan Nunes Maciel, Jorge Javier Giménez Ledesma, et al.
Energies (2022) Vol. 15, Iss. 7, pp. 2457-2457
Open Access | Times Cited: 45
Short-Term Solar Irradiance Forecasting Using Deep Learning Techniques: A Comprehensive Case Study
Salwan Tajjour, Shyam Singh Chandel, Majed A. Alotaibi, et al.
IEEE Access (2023) Vol. 11, pp. 119851-119861
Open Access | Times Cited: 25
Machine Learning Algorithms for Solar Irradiance Prediction: A Recent Comparative Study
Zaid Allal, Hassan Noura, Khaled Chahine
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100453-100453
Open Access | Times Cited: 13
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Grace Ugochi Nneji, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access | Times Cited: 9
Deep learning approach for one-hour ahead forecasting of energy production in a solar-PV plant
Arif Özbek, Alper Yıldırım, Mehmet Bilgili
Energy Sources Part A Recovery Utilization and Environmental Effects (2021) Vol. 44, Iss. 4, pp. 10465-10480
Closed Access | Times Cited: 42
Machine learning algorithm selection for windage alteration fault diagnosis of mine ventilation system
Yuguo Li, Jian Liu, Qichao Zhou, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101666-101666
Closed Access | Times Cited: 38
Effect of Feature Selection on the Prediction of Direct Normal Irradiance
Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 4, pp. 309-317
Open Access | Times Cited: 37
Development and Comparison of Two Novel Hybrid Neural Network Models for Hourly Solar Radiation Prediction
Mustapha Mukhtar, Ariyo Oluwasanmi, Nasser Yimen, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1435-1435
Open Access | Times Cited: 31
Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Abdulhaq Adetunji Salako, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2022) Vol. 7, Iss. 3, pp. 75-75
Open Access | Times Cited: 31
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Olusola Bamisile, Dongsheng Cai, Ariyo Oluwasanmi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Prediction of the higher heating values of biomass using machine learning methods based on proximate and ultimate analysis
Abdülkadir Koçer
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 3, pp. 1569-1574
Closed Access | Times Cited: 7
Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100636-100636
Open Access | Times Cited: 7
Prediction of diffuse solar radiation by integrating radiative transfer model and machine-learning techniques
Yunbo Lu, Renlan Zhang, Lunche Wang, et al.
The Science of The Total Environment (2022) Vol. 859, pp. 160269-160269
Closed Access | Times Cited: 24
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 15
Optimizing Artificial Neural Networks for the Accurate Prediction of Global Solar Radiation: A Performance Comparison with Conventional Methods
Mohamed A. Ali, Ashraf Elsayed, Islam Elkabani, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6165-6165
Open Access | Times Cited: 14
Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis
Sergio A. Pérez-Rodríguez, José M. Álvarez-Alvarado, Julio-Alejandro Romero-González, et al.
IEEE Access (2024) Vol. 12, pp. 100134-100151
Open Access | Times Cited: 5
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 684-734
Open Access | Times Cited: 5
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