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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 51-75 of 84 citing articles:

Evaluation of Two Satellite Surface Solar Radiation Products in the Urban Region in Beijing, China
Lin Xu, Yuna Mao
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 2030-2030
Open Access | Times Cited: 1
Multi-site solar irradiance prediction based on hybrid spatiotemporal graph neural network
Yunjun Yu, Zejie Cheng, Biao Xiong, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 4
Closed Access | Times Cited: 1
Adaptive solar irradiance forecasting in arid regions: Enhancing accuracy with localized atmospheric adjustments
Mahmoud Ben Amara, Elhem Rdhaounia, Moncef Balghouthi
Journal of Engineering Research (2024)
Open Access | Times Cited: 1
An empirical study on the class imbalance handling techniques for different diseases
Wasiur Rhmann
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11439-11456
Open Access | Times Cited: 1
Forecasting of Lake Level by Soft Computing Approaches
Vahdettin Demir, Mehmet Ali Tamer, Serdar Çarbaş
Studies in systems, decision and control (2024), pp. 119-148
Closed Access | Times Cited: 1
DeepTool: A Deep Learning Framework for Tool Wear Onset Detection and Remaining Useful Life Prediction.
Pooja Kamat, Satish Kumar, Ketan Kotecha
MethodsX (2024) Vol. 13, pp. 102965-102965
Open Access | Times Cited: 1
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
Doaa El-Shahat, A. S. Tolba, Mohamed Abouhawwash, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
New Categorized Machine Learning Models for Daily Solar Irradiation Estimation in Southern Morocco's, Zagora City
Zineb Bounoua, Laila Ouazzani Chahidi, Abdellah Mechaqrane
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024), pp. 100777-100777
Open Access | Times Cited: 1
Enhancing microgrid energy management through solar power uncertainty mitigation using supervised machine learning
Rasha Elazab, Ahmed Abo Dahab, Maged Abo Adma, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps
Enes Can Kayhan, Ömer Ekmekcioğlu
Water (2024) Vol. 16, Iss. 22, pp. 3247-3247
Open Access | Times Cited: 1
Short-term motion prediction of FOWT based on time-frequency feature fusion LSTM combined with signal decomposition methods
Biao Song, Qinghua Zhou, Rui Chang
Ocean Engineering (2024) Vol. 317, pp. 120046-120046
Closed Access | Times Cited: 1
Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors
Konstantinos X. Soulis, Evangelos Nikitakis, Aikaterini Katsogiannou, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 939-964
Open Access | Times Cited: 1
Comparison and evaluation of machine learning approaches for estimating heat index map in Türkiye
Sergen Tümse, Mehmet Bilgili, Aliihsan Şekertekin, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 21, pp. 15721-15742
Closed Access | Times Cited: 3
Instant solar irradiation forecasting for solar power plants using different ANN algorithms and network models
Erşan Ömer YÜZER, Altuğ Bozkurt
Electrical Engineering (2023) Vol. 106, Iss. 4, pp. 3671-3689
Closed Access | Times Cited: 3
Comparison of Multiple Machine Learning Methods for Estimating Digital Elevation Points
Vahdettin Demir, Hatice Çıtakoğlu
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2024), pp. 155-158
Closed Access
Predictive models for short-term load forecasting in the UK’s electrical grid
Yusuf A. Sha’aban
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0297267-e0297267
Open Access
Prediction of daily global solar radiation in different climatic conditions using metaheuristic search algorithms: a case study from Türkiye
Hüseyin Bakır
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 43211-43237
Open Access
The New Solar Radiation Estimation Models Using Different Weight Functions in the Moving Least Squares Approach
Ayşe Gül Kaplan
Proceedings of the National Academy of Sciences India Section A Physical Sciences (2024) Vol. 94, Iss. 3, pp. 309-315
Closed Access
Solar Power Generation Forecast Using Multivariate Convolution Gated Recurrent Unit Network
Hsu-Yung Cheng, Chih-Chang Yu
Energies (2024) Vol. 17, Iss. 13, pp. 3073-3073
Open Access
Compare between the performance of different technologies of PV Modules using Artificial intelligence techniques
Hichem Hafdaoui, Nasreddine Belhaouas, Houria Assem, et al.
Journal of Renewable Energies (2024)
Open Access
Effective Planning of Renewable Energy System
Ansar Shaik Satuluru, Shakila Baskaran, Prakash Marimuthu
Advances in environmental engineering and green technologies book series (2024), pp. 163-197
Closed Access
Machine learning approach for predicting the machining characteristics of additive manufactured ABS material
Vikas Sharma, Jaiinder Preet Singh, Kamal Hussan, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access
From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh
Md. Abu Saleh, H. M. Rasel, Briti Ray
Watershed Ecology and the Environment (2024)
Open Access
Utilizing Artificial Neural Network Ensembles for Ship Design Optimization to Reduce Added Wave Resistance and CO2 Emissions
Tomasz Cepowski
Energies (2024) Vol. 17, Iss. 21, pp. 5326-5326
Open Access
Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies
Ayad Dalloo, Amjad J. Humaidi
Results in Engineering (2024), pp. 103451-103451
Open Access

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