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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 survey of artificial neural network in wind energy systems
Alberto Pliego Marugán, Fausto Pedro Garcı́a Márquez, Jesús María Pinar-Pérez, et al.
Applied Energy (2018) Vol. 228, pp. 1822-1836
Open Access | Times Cited: 417

Showing 1-25 of 417 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: 538
Machine learning prediction of mechanical properties of concrete: Critical review
Wassim Ben Chaabene, Majdi Flah, Moncef L. Nehdi
Construction and Building Materials (2020) Vol. 260, pp. 119889-119889
Closed Access | Times Cited: 536
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Sheraz Aslam, Herodotos Herodotou, Syed Muhammad Mohsin, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 110992-110992
Closed Access | Times Cited: 397
Grid Integration Challenges of Wind Energy: A Review
Shakir D. Ahmed, Fahad Saleh Al–Ismail, Md Shafiullah, et al.
IEEE Access (2020) Vol. 8, pp. 10857-10878
Open Access | Times Cited: 349
Machine learning in energy economics and finance: A review
Hamed Ghoddusi, Germán G. Creamer, Nima Rafizadeh
Energy Economics (2019) Vol. 81, pp. 709-727
Closed Access | Times Cited: 340
A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 335
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
A Critical Review of Wind Power Forecasting Methods—Past, Present and Future
Shahram Hanifi, Xiaolei Liu, Zi Lin, et al.
Energies (2020) Vol. 13, Iss. 15, pp. 3764-3764
Open Access | Times Cited: 289
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
Environmental impact and pollution-related challenges of renewable wind energy paradigm – A review
Muhammad Shahzad Nazir, Ali Jafer Mahdi, Muhammad Bilal, et al.
The Science of The Total Environment (2019) Vol. 683, pp. 436-444
Closed Access | Times Cited: 221
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
Zhongtuo Shi, Wei Yao, LI Zhou-ping, et al.
Applied Energy (2020) Vol. 278, pp. 115733-115733
Closed Access | Times Cited: 220
Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network
Zi Lin, Xiaolei Liu
Energy (2020) Vol. 201, pp. 117693-117693
Open Access | Times Cited: 202
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
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 194
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Han Wang, Shuang Han, Yongqian Liu, et al.
Applied Energy (2019) Vol. 237, pp. 1-10
Closed Access | Times Cited: 176
Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations
M. A. Hannan, Molla Shahadat Hossain Lipu, Pin Jern Ker, et al.
Applied Energy (2019) Vol. 251, pp. 113404-113404
Closed Access | Times Cited: 163
Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure
Álvaro Huerta Herráiz, Alberto Pliego Marugán, Fausto Pedro Garcı́a Márquez
Renewable Energy (2020) Vol. 153, pp. 334-348
Open Access | Times Cited: 163
A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data
Hou Jiang, Ning Lu, Jun Qin, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 114, pp. 109327-109327
Closed Access | Times Cited: 160
Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects
Amani Al–Othman, Muhammad Tawalbeh, Remston Martis, et al.
Energy Conversion and Management (2021) Vol. 253, pp. 115154-115154
Closed Access | Times Cited: 160
Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks
Ling Xiang, Xin Yang, Aijun Hu, et al.
Applied Energy (2021) Vol. 305, pp. 117925-117925
Closed Access | Times Cited: 158
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 148
Renewable energy in eco-industrial parks and urban-industrial symbiosis: A literature review and a conceptual synthesis
Maria Angela Butturi, Francesco Lolli, Miguel Afonso Sellitto, et al.
Applied Energy (2019) Vol. 255, pp. 113825-113825
Open Access | Times Cited: 147
Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective
Li Sun, Fengqi You
Engineering (2021) Vol. 7, Iss. 9, pp. 1239-1247
Open Access | Times Cited: 138
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
Hamed Badihi, Youmin Zhang, Bin Jiang, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 6, pp. 754-806
Open Access | Times Cited: 134
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 132
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