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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 Power Forecasting with Deep Learning Networks: Time-Series Forecasting
Wen‐Hui Lin, Ping Wang, Kuo‐Ming Chao, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10335-10335
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Deep learning for time series forecasting: a survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access | Times Cited: 3
Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks
Qiang Wu, Hongling Zheng, Xiaozhu Guo, et al.
Renewable Energy (2022) Vol. 199, pp. 977-992
Closed Access | Times Cited: 65
A novel approach to ultra-short-term wind power prediction based on feature engineering and informer
Wei Hui, Wensheng Wang, Xiaoxuan Kao
Energy Reports (2022) Vol. 9, pp. 1236-1250
Open Access | Times Cited: 43
A Novel Bio-Inspired Optimization Algorithm Design for Wind Power Engineering Applications Time-Series Forecasting
Faten Khalid Karim, Doaa Sami Khafaga, Marwa M. Eid, et al.
Biomimetics (2023) Vol. 8, Iss. 3, pp. 321-321
Open Access | Times Cited: 28
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting
Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106273-106273
Closed Access | Times Cited: 27
Advanced Machine Learning Techniques for Accurate Very-Short-Term Wind Power Forecasting in Wind Energy Systems Using Historical Data Analysis
G. Ponkumar, S. Jayaprakash, K. Karthick
Energies (2023) Vol. 16, Iss. 14, pp. 5459-5459
Open Access | Times Cited: 24
A Review for Green Energy Machine Learning and AI Services
Yukta Mehta, Rui Xu, Benjamin Lim, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5718-5718
Open Access | Times Cited: 23
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting
Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 149-149
Open Access | Times Cited: 8
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
Ejigu Tefera Habtemariam, Kula Kekeba, M. Martínez-Ballesteros, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2317-2317
Open Access | Times Cited: 18
Deep learning ensembles for accurate fog-related low-visibility events forecasting
C. Peláez‐Rodríguez, Jorge Pérez-Aracíl, A. de Lopez-Diz, et al.
Neurocomputing (2023) Vol. 549, pp. 126435-126435
Open Access | Times Cited: 18
Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm
Y. Wang, Lili Pei, Wei Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125376-125376
Closed Access | Times Cited: 6
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 6
Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features
Siva Sankari Subbiah, Senthil Kumar Paramasivan, Karmel Arockiasamy, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3829-3844
Open Access | Times Cited: 26
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
Estimation of Short-Term Power of Wind Turbines Using Artificial Neural Network (ANN) and Swarm Intelligence
Kübra Tümay Ateş
Sustainability (2023) Vol. 15, Iss. 18, pp. 13572-13572
Open Access | Times Cited: 16
Challenges and Perspectives of Smart Grid Systems in Islands: A Real Case Study
Federico Succetti, Antonello Rosato, Rodolfo Araneo, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 583-583
Open Access | Times Cited: 13
Artificial Intelligence (AI) Applied in Civil Engineering
Nikos D. Lagaros, Vagelis Plevris
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7595-7595
Open Access | Times Cited: 22
Design, Assessment, and Modeling of Multi-Input Single-Output Neural Network Types for the Output Power Estimation in Wind Turbine Farms
Abdel-Nasser Sharkawy, Asmaa G. Ameen, Shuaiby Mohamed, et al.
Automation (2024) Vol. 5, Iss. 2, pp. 190-212
Open Access | Times Cited: 4
ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasets
Joung Min Choi, Monjura Afrin Rumi, Peter J. Vikesland, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features
Yuan Wang, Yue Bi, Guo Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1636-1636
Open Access
The Role of Artificial Intelligence in Transforming the Energy Sector: A Comprehensive Review
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 21-61
Closed Access
A Comparative Study of CO2 Forecasting Strategies in School Classrooms: A Step Toward Improving Indoor Air Quality
Peio Garcia-Pinilla, Aránzazu Jurío, Daniel Paternain
Sensors (2025) Vol. 25, Iss. 7, pp. 2173-2173
Open Access
Wind power deviation charge reduction using long short term memory network
Sandhya Kumari, Sreenu Sreekumar, Ankur Singh Rana, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100473-100473
Open Access | Times Cited: 3
A survey on wind power forecasting with machine learning approaches
Yang Yang, Hao Lou, Jinran Wu, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12753-12773
Open Access | Times Cited: 3
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