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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:

Forecasting of solar radiation using different machine learning approaches
Vahdettin Demir, Hatice Çıtakoğlu
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 887-906
Closed Access | Times Cited: 84

Showing 26-50 of 84 citing articles:

Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping
Karim Solaimani, Shadman Darvishi, Fatemeh Shokrian
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32950-32971
Closed Access | Times Cited: 4
Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer
Kiymet Tabak Kızgın, Selçuk Alp, Nezir Aydın, et al.
Science Progress (2025) Vol. 108, Iss. 1
Open Access
Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms
Zeki Yılbaşı, Gökalp Çınarer, Nevfel Yunus Coşkun, et al.
International Journal of Green Energy (2025), pp. 1-27
Closed Access
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan
Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
The CEEMDAN-EWT-CNN-GRU-SVM Model: A Robust Framework for Decomposing Non-Stationary Time Series, Extracting Data features, and Predicting Solar Radiation
Sharareh Pourebrahim, Akram Seifi, Mohammad Ehteram, et al.
Results in Engineering (2025), pp. 104267-104267
Open Access
Spatial and temporal dynamics of solar energy resources in China and forecast of future solar radiation
Yong Zhou, Xueli Sha, Lingyu Wang, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2025), pp. 106463-106463
Closed Access
Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 2180-2204
Closed Access | Times Cited: 10
Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China
Liwen Xing, Ningbo Cui, Li Guo, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108139-108139
Open Access | Times Cited: 9
Entropy analysis on EMHD 3D micropolar tri-hybrid nanofluid flow of solar radiative slendering sheet by a machine learning algorithm
Shaik Jakeer, H. Thameem Basha, Seethi Reddy Reddisekhar Reddy, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Recurrent neural networks and sensitivity analysis for accurate monthly evapotranspiration estimation in the region of Fez, Morocco
Nisrine Lachgar, Achraf Berrajaa, Moad Essabbar, et al.
World Water Policy (2024) Vol. 10, Iss. 3, pp. 730-754
Closed Access | Times Cited: 3
Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106338-106338
Closed Access | Times Cited: 3
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models
Youssef Kassem, Hüseyin Çamur, Mustapha Tanimu Adamu, et al.
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 4, pp. 11472-11483
Open Access | Times Cited: 9
Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information
Yongsheng Hao, Qi Wang, Tinghuai Ma, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 177, pp. 171-181
Closed Access | Times Cited: 7
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2023)
Open Access | Times Cited: 7
Reducing CO2 Emissions through the Strategic Optimization of a Bulk Carrier Fleet for Loading and Transporting Polymetallic Nodules from the Clarion-Clipperton Zone
Tomasz Cepowski, Paweł Kacprzak
Energies (2024) Vol. 17, Iss. 14, pp. 3383-3383
Open Access | Times Cited: 2
Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting
Konstantinos Blazakis, Nikolaos Schetakis, P. Bonfini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5035-5035
Open Access | Times Cited: 2
Machine learning empowered prediction of geolocation using groundwater quality variables over YSR district of India
Jagadish Kumar Mogaraju
Turkish Journal of Engineering (2023) Vol. 8, Iss. 1, pp. 31-45
Open Access | Times Cited: 6
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1635-1635
Open Access | Times Cited: 6
Entropy-optimized MHD three-dimensional solar slendering sheet of micropolar hybrid nanofluid flow using a machine learning approach
A. Vivek Anand, Rifaqat Ali, Shaik Jakeer, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 149, Iss. 13, pp. 7001-7023
Closed Access | Times Cited: 6
Exploring and forecasting of solar radiation with machine learning methods
Sasmita Kumari Nayak
World Journal of Advanced Research and Reviews (2023) Vol. 20, Iss. 3, pp. 824-828
Open Access | Times Cited: 6
Prediction of Global Horizontal Irradiance based on eXplainable Artificial Intelligence
Chaitanya Ganvir, D. Dinesh, Rahul Gupta, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model
Lakhdar Nadjib Boucetta, Youssouf Amrane, Aissa Chouder, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1781-1781
Open Access | Times Cited: 1
Short-term forecasting approach of single well production based on multi-intelligent agent hybrid model
Hua Yan, Ming Liu, Bin Yang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301349-e0301349
Open Access | Times Cited: 1
Monthly rainfall prediction using artificial neural network (case study: Republic of Benin)
Arsène Nounangnon Aïzansi, K. O. Ogunjobi, Faustin Katchele Ogou
Environmental Data Science (2024) Vol. 3
Open Access | Times Cited: 1
Spatiotemporal Variability of Gross Primary Productivity in Türkiye: A Multi-Source and Multi-Method Assessment
Eyyup Ensar Başakın, Paul C. Stoy, Mehmet Cüneyd Demirel, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1994-1994
Open Access | Times Cited: 1

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