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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:

Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review
Hanin Alkabbani, Ali Ahmadian, Qinqin Zhu, et al.
Frontiers in Chemical Engineering (2021) Vol. 3
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Weather Forecasting for Renewable Energy System: A Review
R. Meenal, D. Binu, K. C. Ramya, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 2875-2891
Closed Access | Times Cited: 99
Machine Learning-Based Forecasting of Temperature and Solar Irradiance for Photovoltaic Systems
Wassila Tercha, Sid Ahmed Tadjer, Fathia Chekired, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1124-1124
Open Access | Times Cited: 18
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
Renewable energy focus (2023) Vol. 48, pp. 100529-100529
Open Access | Times Cited: 27
IGJO: An Improved Golden Jackel Optimization Algorithm Using Local Escaping Operator for Feature Selection Problems
R. Manjula Devi, M. Premkumar, G. Kiruthiga, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 5, pp. 6443-6531
Closed Access | Times Cited: 25
Applications of nature-inspired metaheuristic algorithms for tackling optimization problems across disciplines
Elvis Han Cui, Zizhao Zhang, C. Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 9
An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance
Ting Xu, Mohammad Hosein Sabzalian, Ahmad Hammoud, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting
Jie Liu, Quan Shi, Ruilian Han, et al.
Energies (2021) Vol. 14, Iss. 20, pp. 6500-6500
Open Access | Times Cited: 40
A comprehensive review on artificial intelligence assisted technologies in food industry
Arzoo Thapa, Shivani Nishad, Deblina Biswas, et al.
Food Bioscience (2023) Vol. 56, pp. 103231-103231
Closed Access | Times Cited: 17
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 16
Markov modelling and adaptive neuro fuzzy inference system computing of hydroelectric power plant
Vijay Singh Maan, Ashish Kumar, Monika Saini, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 5
Artificial Intelligence and machine learning in renewable and sustainable energy strategies: a critical review and future perspectives
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Open Access | Times Cited: 5
Forecasting techniques for power systems with renewables
Paúl Arévalo, Darío Benavides, Danny Ochoa-Correa
Elsevier eBooks (2025), pp. 381-412
Closed Access
Performance optimization of hydroelectric power-plants using computational intelligence techniques
Ashish Kumar, Vijay Singh Maan, Monika Saini
International Journal of Information Technology (2024) Vol. 16, Iss. 4, pp. 2215-2227
Closed Access | Times Cited: 4
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
Artificial intelligence applications in solar energy
Thanh Tuan Le, Thi Thai Le, Huu Cuong Le, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 826-826
Open Access | Times Cited: 3
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 10
Machine Learning-based Time Series Modelling for Large-Scale Regional Wind Power Forecasting: a Case Study in Ontario, Canada
Hanin Alkabbani, Farzad Hourfar, Ali Ahmadian, et al.
Cleaner Energy Systems (2023) Vol. 5, pp. 100068-100068
Open Access | Times Cited: 9
Utilizing Artificial Intelligence Techniques in Complex Form Generation
Youstina Eskandar, Samir Sadek Hosny, Sherif Abdelmohsen, et al.
Deleted Journal (2024) Vol. 53, Iss. 1, pp. 34-39
Open Access | Times Cited: 2
Machine Learning Techniques for Renewable Energy Forecasting: A Comprehensive Review
Rajae Gaamouche, Marta Chinnici, Mohamed Lahby, et al.
Green energy and technology (2022), pp. 3-39
Closed Access | Times Cited: 11
A review on the application of machine learning for combustion in power generation applications
Kasra Mohammadi, Jake Immonen, Landen D. Blackburn, et al.
Reviews in Chemical Engineering (2022) Vol. 39, Iss. 6, pp. 1027-1059
Closed Access | Times Cited: 9
Extreme Learning Machine-Based Power Forecasting in Photovoltaic Systems
Zeynep Bala Duranay
IEEE Access (2023) Vol. 11, pp. 128923-128931
Open Access | Times Cited: 5
Power Generation Mix in Colombia including wind power: Markowitz Portfolio Efficient Frontier analysis with Machine Learning
Sergio Botero Botero, Claudia María García Mazo, Francisco Javier Moreno Arboleda
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 4, pp. 100402-100402
Open Access | Times Cited: 1
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources
Camilla Lops, Mariano Pierantozzi, Luciano Caroprese, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 3942-3951
Closed Access | Times Cited: 4
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