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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:

Wind Power Prediction Based on Machine Learning and Deep Learning Models
Zahraa Tarek, Mahmoud Y. Shams, Ahmed M. Elshewey, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 715-732
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Water quality prediction using machine learning models based on grid search method
Mahmoud Y. Shams, Ahmed M. Elshewey, El-Sayed M. El-kenawy, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35307-35334
Open Access | Times Cited: 93
Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs
Tarek Abd El‐Hafeez, Mahmoud Y. Shams, Yaseen A. M. M. Elshaier, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 40
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 26
Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas
Mahmoud Y. Shams, Zahraa Tarek, El-Sayed M. El-kenawy, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 15
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
A hybrid light GBM and Harris Hawks optimization approach for forecasting construction project performance: enhancing schedule and budget predictions
Mu’taz Abuassi, Bader Aldeen Ayman Almahameed, Majdi Bisharah, et al.
Asian Journal of Civil Engineering (2025)
Closed Access | Times Cited: 1
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Zongxu Liu, Hui Guo, Y. Zhang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 350-350
Open Access | Times Cited: 1
Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants
Tajrian Mollick, Galib Hashmi, Saifur Rahman Sabuj
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 14
Orthopedic disease classification based on breadth-first search algorithm
Ahmed M. Elshewey, Ahmed M. Osman
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Demand Forecasting and Allocation Optimization of Green Power Grid Supply Chain Based on Machine Learning Algorithm: A Study Based on the Whole-Process Data of Power Grid Materials
Hanyu Rao, Jiancheng Li, Xiaojun Sun
Sustainability (2025) Vol. 17, Iss. 3, pp. 1247-1247
Open Access
Prediction of Excess Air Ratio Through Deep Neural Network–Based Multidimensional Analysis of OH∗ Radical Intensity and Fuel Pressure in Flame
Byeongchan So, Min-Jun Kwon, J Kim, et al.
International Journal of Energy Research (2025) Vol. 2025, Iss. 1
Open Access
Optimization of solar and wind power plants production through a parallel fusion approach with modified hybrid machine and deep learning models
Muhammad Abubakar, Yanbo Che, Zafar Ahsan, et al.
Intelligent Data Analysis (2025)
Closed Access
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia
Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Multi-renewable energy resources parameters prediction through meta-learning models selectivity analysis and parallel fusion approaches
Muhammad Abubakar, Yanbo Che, Muhammad Shoaib Bhutta, et al.
Electrical Engineering (2025)
Closed Access
Numerical thermodynamic-economic study and machine learning-based optimization of an innovative biogas-driven integrated power plant combined with sustainable liquid CO2 and liquid H2 production-storage processes
Rui Yuan, Fan Shi, Azher M. Abed, et al.
Case Studies in Thermal Engineering (2025) Vol. 69, pp. 106043-106043
Closed Access
Multi-temporal forecasting of wind energy production using artificial intelligence models
Doha Bouabdallaoui, Touria Haidi, Mounir Derri, et al.
International Journal of Renewable Energy Development (2025) Vol. 14, Iss. 3, pp. 505-517
Open Access
A comprehensive review of artificial intelligence applications in wind energy power generation
Pouya Moshtaghi, Najmeh Hajialigol, Behnam Rafiei
Sustainable Futures (2025), pp. 100638-100638
Open Access
An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making
Ahmed M. Elshewey, Mona Jamjoom, Eman H. Alkhammash
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Adaptive Visual Sentiment Prediction Model Based on Event Concepts and Object Detection Techniques in Social Media
Yasser Fouad, Ahmed M. Osman, Samah A. Z. Hassan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 7
Open Access | Times Cited: 10
A new short-term wind power prediction methodology based on linear and nonlinear hybrid models
Xixuan Zhao, Bingzhen Sun, Ning Wu, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110477-110477
Closed Access | Times Cited: 3
Multitask multilayer-prediction model for predicting mechanical ventilation and the associated mortality rate
Nora El-Rashidy, Zahraa Tarek, Ahmed M. Elshewey, et al.
Neural Computing and Applications (2024)
Open Access | Times Cited: 3
Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications
Aaron Van Poecke, Hossein Tabari, Peter Hellinckx
Energy Reports (2023) Vol. 11, pp. 544-557
Open Access | Times Cited: 8
Rainfall classification and forecasting based on a novel voting adaptive dynamic optimization algorithm
El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 2
An optimized and interpretable carbon price prediction: Explainable deep learning model
Gehad Ismail Sayed, Eman I. Abd El-Latif, Ashraf Darwish, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115533-115533
Closed Access | Times Cited: 2
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