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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 prediction based on outlier correction, ensemble reinforcement learning, and residual correction
Shi Yin, Hui Liu
Energy (2022) Vol. 250, pp. 123857-123857
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Global wind energy resources decline under climate change
A. Martinez, G. Iglesias
Energy (2023) Vol. 288, pp. 129765-129765
Open Access | Times Cited: 57
Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model
Md Galal Uddin, Azizur Rahman, Firouzeh Taghikhah, et al.
Water Research (2024) Vol. 255, pp. 121499-121499
Open Access | Times Cited: 37
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 27
Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass
Zheng‐Xin Wang, Xinggan Peng, Ao Xia, et al.
Energy (2022) Vol. 263, pp. 125883-125883
Closed Access | Times Cited: 46
SCADA system dataset exploration and machine learning based forecast for wind turbines
Upma Singh, M. Rizwan
Results in Engineering (2022) Vol. 16, pp. 100640-100640
Closed Access | Times Cited: 42
Developments in Image Processing Using Deep Learning and Reinforcement Learning
Jorge Valente, João António, Carlos León de Mora, et al.
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 207-207
Open Access | Times Cited: 42
Ensemble reinforcement learning: A survey
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 26
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 11
ISI Net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting
Bingjie Liang, Zhirui Tian
Energy Conversion and Management (2025) Vol. 332, pp. 119752-119752
Closed Access | Times Cited: 1
A new demand response management strategy considering renewable energy prediction and filtering technology
Xidong Zheng, Feifei Bai, Zhiyuan Zhuang, et al.
Renewable Energy (2023) Vol. 211, pp. 656-668
Open Access | Times Cited: 22
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey
Sabarathinam Srinivasan, Suresh Kumarasamy, Zacharias Andreadakis, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5383-5383
Open Access | Times Cited: 18
Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
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
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: 27
Spatio-Temporal Graph Neural Network and Pattern Prediction Based Ultra-Short-Term Power Forecasting of Wind Farm Cluster
Xiaoyan Liu, Yiran Zhang, Zhao Zhen, et al.
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 1, pp. 1794-1803
Closed Access | Times Cited: 14
Recent advances in data-driven prediction for wind power
Yaxin Liu, Yunjing Wang, Qingtian Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 10
“A Data-driven prediction of residual carbon dioxide under different porous media structures”
Eric Richard Shanghvi, Qingbang Meng, Elieneza Nicodemus Abelly, et al.
Gas Science and Engineering (2025), pp. 205602-205602
Closed Access
Short-term wind power forecast with turning weather based on DBSCAN-RFE-LightGBM
Donghai Li, Xinyu Fan, Gui‐Bin Bian, et al.
Renewable Energy (2025), pp. 123217-123217
Closed Access
Explainable artificial intelligence for wind power forecasting model based on long short-term memory
Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed S. Abdelfattah, et al.
Neural Computing and Applications (2025)
Open Access
Reinforcement learning in wind energy - a review
Valayapathy Lakshmi Narayanan
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 1945-1968
Closed Access | Times Cited: 9
Reanalysis and Ground Station data: Advanced data preprocessing in deep learning for wind power prediction
Junwei Ding, Ming-Ju Chuang, Jing-Siou Tseng, et al.
Applied Energy (2024) Vol. 375, pp. 124129-124129
Closed Access | Times Cited: 3
Ultra-short-term wind power forecasting based on long short-term memory network with modified honey badger algorithm
Lei Guo, Chang Xu, Tianhang Yu, et al.
Energy Reports (2024) Vol. 12, pp. 3548-3565
Open Access | Times Cited: 3
Prediction Model for Pipeline Pitting Corrosion Based on Multiple Feature Selection and Residual Correction
Zhenhao Zhu, Qiushuang Zheng, Hongbing Liu, et al.
Journal of Marine Science and Application (2024)
Closed Access | Times Cited: 3
Hybrid prediction model for cold load in large public buildings based on mean residual feedback and improved SVR
Haiyan Liu, Junqi Yu, Jun-Wei Dai, et al.
Energy and Buildings (2023) Vol. 294, pp. 113229-113229
Closed Access | Times Cited: 8
Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils
Ram Proshad, S Asha, Rong Kun Jason Tan, et al.
Journal of Hazardous Materials (2024) Vol. 481, pp. 136536-136536
Closed Access | Times Cited: 2
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