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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 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: 181

Showing 51-75 of 181 citing articles:

Accelerating mitigation of climate change with sustainable development of energy, water and environment systems
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2021) Vol. 245, pp. 114606-114606
Closed Access | Times Cited: 50
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 31
A multi-step probability density prediction model based on gaussian approximation of quantiles for offshore wind power
Wanying Zhang, Yaoyao He, Shanlin Yang
Renewable Energy (2022) Vol. 202, pp. 992-1011
Closed Access | Times Cited: 29
Powerformer: A temporal-based transformer model for wind power forecasting
Site Mo, Haoxin Wang, Bixiong Li, et al.
Energy Reports (2023) Vol. 11, pp. 736-744
Open Access | Times Cited: 21
Load prediction of integrated energy systems for energy saving and carbon emission based on novel multi-scale fusion convolutional neural network
Zhiwei Chen, Weicheng Zhao, Xiaoyong Lin, et al.
Energy (2023) Vol. 290, pp. 130181-130181
Closed Access | Times Cited: 19
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18
Wind speed and wind power forecasting models
M. Lydia, G. Edwin Prem Kumar, R. Akash
Energy & Environment (2024)
Closed Access | Times Cited: 7
A wind power forecasting model based on data decomposition and cross-attention mechanism with cosine similarity
Jiang Li, Yifan Wang
Electric Power Systems Research (2024) Vol. 229, pp. 110156-110156
Closed Access | Times Cited: 6
An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching
Yi Xiao, Sheng Wu, Chen He, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101293-101293
Closed Access | Times Cited: 6
A short-term wave energy forecasting model using two-layer decomposition and LSTM-attention
Yihang Yang, Lu Han, Cunyong Qiu, et al.
Ocean Engineering (2024) Vol. 299, pp. 117279-117279
Closed Access | Times Cited: 6
Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
Ahmed. H. A. Elkasem, Mohamed Khamies, Gaber Magdy, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12095-12095
Open Access | Times Cited: 35
Offshore wind speed forecasting at different heights by using ensemble empirical mode decomposition and deep learning models
Bharat Kumar Saxena, Sanjeev Mishra, K. V. Rao
Applied Ocean Research (2021) Vol. 117, pp. 102937-102937
Closed Access | Times Cited: 34
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
A Novel Framework Based on the Stacking Ensemble Machine Learning (SEML) Method: Application in Wind Speed Modeling
Amirreza Morshed-Bozorgdel, Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 758-758
Open Access | Times Cited: 24
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Yagang Zhang, Yinchuan Chen, Zihan Qi, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116221-116221
Closed Access | Times Cited: 23
A robust De-Noising Autoencoder imputation and VMD algorithm based deep learning technique for short-term wind speed prediction ensuring cyber resilience
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 283, pp. 129080-129080
Closed Access | Times Cited: 16
An Effective Hybridization of Quantum-based Avian Navigation and Bonobo Optimizers to Solve Numerical and Mechanical Engineering Problems
Mohammad H. Nadimi-Shahraki
Journal of Bionic Engineering (2023) Vol. 20, Iss. 3, pp. 1361-1385
Closed Access | Times Cited: 13
The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 206-206
Open Access | Times Cited: 13
Ultra-short-term wind speed prediction based on TCN-MCM-EKF
Pengxiang Sun, Juan Wang, Zhenguo Yan
Energy Reports (2024) Vol. 11, pp. 2127-2140
Open Access | Times Cited: 5
A Novel Deep Learning Based Model for Tropical Intensity Estimation and Post-Disaster Management of Hurricanes
Jayanthi Devaraj, Sumathi Ganesan, Rajvikram Madurai Elavarasan, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4129-4129
Open Access | Times Cited: 30
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278095-e0278095
Open Access | Times Cited: 22
One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques
Konstantinos Blazakis, Yiannis A. Katsigiannis, G.S. Stavrakakis
Energies (2022) Vol. 15, Iss. 12, pp. 4361-4361
Open Access | Times Cited: 20
Power Forecasting of Regional Wind Farms via Variational Auto-Encoder and Deep Hybrid Transfer Learning
Mansoor Khan, Muhammad Rashid Naeem, Essam A. Al‐Ammar, et al.
Electronics (2022) Vol. 11, Iss. 2, pp. 206-206
Open Access | Times Cited: 19
A new distributed decomposition–reconstruction–ensemble learning paradigm for short-term wind power prediction
Xixuan Zhao, Bingzhen Sun, Ruibin Geng
Journal of Cleaner Production (2023) Vol. 423, pp. 138676-138676
Closed Access | Times Cited: 12
Wind forecasting-based model predictive control of generator, pitch, and yaw for output stabilisation – A 15-megawatt offshore
Tenghui Li, Jin Yang, Αναστασία Ιωάννου
Energy Conversion and Management (2024) Vol. 302, pp. 118155-118155
Open Access | Times Cited: 4

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