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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:

Wind speed forecasting using deep learning and preprocessing techniques
E. EL-DEEN Ammar, George Xydis
International Journal of Green Energy (2023) Vol. 21, Iss. 5, pp. 988-1016
Closed Access | Times Cited: 13

Showing 13 citing articles:

Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction
Liuyan Feng, Yongquan Zhou, Qifang Luo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123160-123160
Closed Access | Times Cited: 7
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Carbon Footprint Reduction and Climate Change Mitigation: A Review of the Approaches, Technologies, and Implementation Challenges
Н. В. Лобус, Maria Knyazeva, Anna Popova, et al.
C – Journal of Carbon Research (2023) Vol. 9, Iss. 4, pp. 120-120
Open Access | Times Cited: 15
Short-Term Wind Speed Forecasting Using Different LSTM Deep Learning Methods
Upama Dev, Shameem Ahmad, Mohammad Rabib Uddin, et al.
Lecture notes in electrical engineering (2025), pp. 199-211
Closed Access
Improving the forecast of wind speed and significant wave height using neural networks and gradient boosting trees
Mariana Ré Henriques, Dina Silva, Ivan Yanchin, et al.
Ocean Engineering (2025) Vol. 327, pp. 120925-120925
Open Access
Wind turbine blade icing diagnosis based on k-means clustering and label propagation algorithm
Xinjian Bai, Yuchen Xu, Yongqian Liu, et al.
International Journal of Green Energy (2024), pp. 1-16
Closed Access | Times Cited: 3
MSTL-NNAR: a new hybrid model of machine learning and time series decomposition for wind speed forecasting
Mohammed Elseidi
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 7, pp. 2613-2632
Closed Access | Times Cited: 1
Unleashing the economic potential of wind power for ancillary services
Sanchita Baral, George Xydis
International Journal of Emerging Electric Power Systems (2024)
Closed Access
Imputation based wind speed forecasting technique during abrupt changes in short term scenario
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 14, pp. 2751-2772
Open Access
LSTM-based Wind Energy Prediction for Short-Term Power and its Impact on System Economy
Shreya Shree Das, Subhojit Dawn, Jayendra Kumar
(2024), pp. 1-6
Closed Access
The Role of Machine Learning Methods for Renewable Energy Forecasting
Övgü Ceyda Yelgel, Celal Yelgel
IntechOpen eBooks (2024)
Open Access
双向长短期记忆网络在激光雷达风廓线预测的应用
廉文超 Lian Wenchao, Xiaoquan Song, 郝朝阳 Hao Zhaoyang, et al.
Acta Optica Sinica (2024) Vol. 44, Iss. 24, pp. 2401004-2401004
Closed Access
Forecasting of Wind Speed Using Deep Learning Method: A Case Study in Andhrapradesh
Abdul Subhahan Shaik, B. Shakila, M. Prakash
(2024), pp. 1-5
Closed Access
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