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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:

Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad
Syed Altan Haider, Muhammad Sajid, Sajid Hassan, et al.
Renewable Energy (2022) Vol. 198, pp. 51-60
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Distributed energy systems: A review of classification, technologies, applications, and policies
Talha Bin Nadeem, Mubashir Ali Siddiqui, Muhammad Khalid, et al.
Energy Strategy Reviews (2023) Vol. 48, pp. 101096-101096
Open Access | Times Cited: 130
Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 69
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
ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5029-5029
Open Access | Times Cited: 52
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: 52
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 48
Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems
Ali Javaid, Muhammad Sajid, Emad Uddin, et al.
Energy Conversion and Management (2024) Vol. 302, pp. 118120-118120
Closed Access | Times Cited: 24
An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models
Adewole Adetoro Ajala, Opeolu Adeoye, Olawale Moshood Salami, et al.
Environmental Science and Pollution Research (2025)
Open Access | Times Cited: 3
Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting
Putri Nor Liyana Mohamad Radzi, Muhammad Naveed Akhter, Saad Mekhilef, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 2942-2942
Open Access | Times Cited: 37
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
Adaptive meta-learning extreme learning machine with golden eagle optimization and logistic map for forecasting the incomplete data of solar irradiance
Sarunyoo Boriratrit, Pradit Fuangfoo, Chitchai Srithapon, et al.
Energy and AI (2023) Vol. 13, pp. 100243-100243
Open Access | Times Cited: 24
Impacts of digitalization on smart grids, renewable energy, and demand response: An updated review of current applications
Mou Mahmood, Prangon Chowdhury, Rahbaar Yeassin, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100790-100790
Open Access | Times Cited: 15
Assessing radiometric calibration methods for multispectral UAV imagery and the influence of illumination, flight altitude and flight time on reflectance, vegetation index and inversion of winter wheat AGB and LAI
Honglei Zhu, Yanwei Huang, Z. H. An, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108821-108821
Closed Access | Times Cited: 14
An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources
Abrar Shahriar Pramanik, Saeed Sepasi, Tung Lam Nguyen, et al.
Energy and Buildings (2024) Vol. 308, pp. 113996-113996
Closed Access | Times Cited: 10
Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3619-3645
Closed Access | Times Cited: 9
Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change
Serhii Pimenov, Olena Pimenowa, Piotr Prus
Energies (2024) Vol. 17, Iss. 23, pp. 5965-5965
Open Access | Times Cited: 9
Machine Learning Prediction of Photovoltaic Hydrogen Production Capacity Using Long Short-Term Memory Model
Qian He, Mingbin Zhao, Shujie Li, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 543-543
Open Access | Times Cited: 1
Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model
Venkatachalam Mohanasundaram, R. Balamurugan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Forecasting Hydrogen Production from Wind Energy in a Suburban Environment Using Machine Learning
Ali Javaid, Umer Javaid, Muhammad Sajid, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8901-8901
Open Access | Times Cited: 29
Day-ahead seasonal solar radiation prediction, combining VMD and STACK algorithms
Saida El Bakali, Hamid Ouadi, Saad Gheouany
Clean Energy (2023) Vol. 7, Iss. 4, pp. 911-925
Open Access | Times Cited: 22
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 18
A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting
Ligang Cui, Yingcong Chen, Jie Deng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124409-124409
Closed Access | Times Cited: 7
Algorithms for Hyperparameter Tuning of LSTMs for Time Series Forecasting
Harshal Dhake, Yashwant Kashyap, Panagiotis Kosmopoulos
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2076-2076
Open Access | Times Cited: 14
Solar irradiance time series forecasting using auto-regressive and extreme learning methods: Influence of transfer learning and clustering
Milan Despotović, Cyril Voyant, Luis Garcia-Gutierrez, et al.
Applied Energy (2024) Vol. 365, pp. 123215-123215
Closed Access | Times Cited: 5
Deep learning model for regional solar radiation estimation using satellite images
Erşan Ömer YÜZER, Altuğ Bozkurt
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 8, pp. 102057-102057
Open Access | Times Cited: 22
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