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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.

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Showing 1-25 of 127 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
Taxonomy research of artificial intelligence for deterministic solar power forecasting
Huaizhi Wang, Yangyang Liu, Bin Zhou, et al.
Energy Conversion and Management (2020) Vol. 214, pp. 112909-112909
Closed Access | Times Cited: 264
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: 204
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy Conversion and Management (2021) Vol. 236, pp. 114002-114002
Closed Access | Times Cited: 179
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
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 147
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Dan Li, Fuxin Jiang, Min Chen, et al.
Energy (2021) Vol. 238, pp. 121981-121981
Closed Access | Times Cited: 135
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 119
State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 110
Short-term wind speed forecasting based on long short-term memory and improved BP neural network
Gonggui Chen, Bangrui Tang, Xianjun Zeng, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107365-107365
Closed Access | Times Cited: 102
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition
Changrui Deng, Yanmei Huang, Najmul Hasan, et al.
Information Sciences (2022) Vol. 607, pp. 297-321
Closed Access | Times Cited: 77
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
Electric Power Systems Research (2022) Vol. 213, pp. 108796-108796
Closed Access | Times Cited: 70
Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 19
Reliability analysis of wind turbine gearboxes: past, progress and future prospects
Debiao Meng, Peng Nie, Shiyuan Yang, et al.
International Journal of Structural Integrity (2025)
Closed Access | Times Cited: 1
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing
Kaixuan Shao, Wenlong Fu, Jiawen Tan, et al.
Measurement (2020) Vol. 173, pp. 108580-108580
Closed Access | Times Cited: 122
Automatic Generation Control Based on Multiple Neural Networks With Actor-Critic Strategy
Lei Xi, Junnan Wu, Yanchun Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 6, pp. 2483-2493
Closed Access | Times Cited: 111
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy (2021) Vol. 229, pp. 120617-120617
Open Access | Times Cited: 94
Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization
Wenlong Fu, Kaixuan Shao, Jiawen Tan, et al.
IEEE Access (2020) Vol. 8, pp. 13086-13104
Open Access | Times Cited: 93
A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches
Shuai Wang, Jianzhou Wang, Haiyan Lu, et al.
Energy (2021) Vol. 234, pp. 121275-121275
Closed Access | Times Cited: 93
A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
Wenlong Fu, Kai Zhang, Kai Wang, et al.
Renewable Energy (2020) Vol. 164, pp. 211-229
Closed Access | Times Cited: 86
Wind speed prediction based on singular spectrum analysis and neural network structural learning
Xiwei Mi, Shuo Zhao
Energy Conversion and Management (2020) Vol. 216, pp. 112956-112956
Closed Access | Times Cited: 82
A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections
Hui Liu, Rui Yang, Tiantian Wang, et al.
Renewable Energy (2020) Vol. 165, pp. 573-594
Closed Access | Times Cited: 80
Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Peng Tian, Chu Zhang, Jianzhong Zhou, et al.
Renewable Energy (2020) Vol. 156, pp. 804-819
Closed Access | Times Cited: 73
Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm
İpek Çetinbaş, Bünyamin Tamyürek, Mehmet Demirtaş
Energy Conversion and Management (2021) Vol. 245, pp. 114562-114562
Closed Access | Times Cited: 66
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