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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:

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Razin Ahmed, Victor Sreeram, Yateendra Mishra, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 124, pp. 109792-109792
Closed Access | Times Cited: 834

Showing 1-25 of 834 citing articles:

Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-96
Open Access | Times Cited: 458
Extensive comparison of physical models for photovoltaic power forecasting
Martin János Mayer, Gyula Gróf
Applied Energy (2020) Vol. 283, pp. 116239-116239
Open Access | Times Cited: 260
Stock price prediction using deep learning and frequency decomposition
Hadi Rezaei, Hamidreza Faaljou, Gholamreza Mansourfar
Expert Systems with Applications (2020) Vol. 169, pp. 114332-114332
Closed Access | Times Cited: 240
Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System
Prabhakar Sharma, Zafar Said, Anurag Kumar, et al.
Energy & Fuels (2022) Vol. 36, Iss. 13, pp. 6626-6658
Closed Access | Times Cited: 240
CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
Ali Agga, Ahmed Abbou, Moussa Labbadi, et al.
Electric Power Systems Research (2022) Vol. 208, pp. 107908-107908
Closed Access | Times Cited: 228
Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
Dávid Markovics, Martin János Mayer
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112364-112364
Open Access | Times Cited: 227
Aligning artificial intelligence with climate change mitigation
Lynn H. Kaack, Priya L. Donti, Emma Strubell, et al.
Nature Climate Change (2022) Vol. 12, Iss. 6, pp. 518-527
Closed Access | Times Cited: 212
Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach
Waqas Khan, Shalika Walker, Wim Zeiler
Energy (2021) Vol. 240, pp. 122812-122812
Open Access | Times Cited: 209
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 202
Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern
Jiaqi Qu, Zheng Qian, Yan Pei
Energy (2021) Vol. 232, pp. 120996-120996
Closed Access | Times Cited: 193
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
M. A. Hannan, M. Faisal, Pin Jern Ker, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 131, pp. 110022-110022
Closed Access | Times Cited: 185
COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system
Huaxu Liang, Fuqiang Wang, Luwei Yang, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 141, pp. 110785-110785
Closed Access | Times Cited: 172
Effect of dust and methods of cleaning on the performance of solar PV module for different climate regions: Comprehensive review
Tareq Salamah, Ahmad Ramahi, Kadhim Alamara, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154050-154050
Closed Access | Times Cited: 154
Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, et al.
Energy (2022) Vol. 246, pp. 123403-123403
Closed Access | Times Cited: 138
Hybrid deep neural model for hourly solar irradiance forecasting
Xiaoqiao Huang, Qiong Li, Yonghang Tai, et al.
Renewable Energy (2021) Vol. 171, pp. 1041-1060
Closed Access | Times Cited: 127
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
Yanhui Liang, Yu Lin, Qin Lu
Expert Systems with Applications (2022) Vol. 206, pp. 117847-117847
Closed Access | Times Cited: 119
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: 118
A hybrid framework for forecasting power generation of multiple renewable energy sources
Jianqin Zheng, Jian Du, Bohong Wang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 172, pp. 113046-113046
Closed Access | Times Cited: 112
Frequency-Domain Decomposition and Deep Learning Based Solar PV Power Ultra-Short-Term Forecasting Model
Jichuan Yan, Lin Hu, Zhao Zhen, et al.
IEEE Transactions on Industry Applications (2021) Vol. 57, Iss. 4, pp. 3282-3295
Closed Access | Times Cited: 110
Machine Learning Based PV Power Generation Forecasting in Alice Springs
Khizir Mahmud, Sami Azam, Asif Karim, et al.
IEEE Access (2021) Vol. 9, pp. 46117-46128
Open Access | Times Cited: 108
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
Deniz Korkmaz
Applied Energy (2021) Vol. 300, pp. 117410-117410
Closed Access | Times Cited: 108
Solar Power Forecasting Using CNN-LSTM Hybrid Model
Su-Chang Lim, Jun‐Ho Huh, Seok-Hoon Hong, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8233-8233
Open Access | Times Cited: 106
An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
Georgios Mitrentsis, Hendrik Lens
Applied Energy (2022) Vol. 309, pp. 118473-118473
Open Access | Times Cited: 100
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