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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:

Short-Term Wind Power Prediction Based on Data Reconstruction and Improved Extreme Learning Machine
Haobo Li, Hairong Zou
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 3, pp. 3669-3682
Closed Access | Times Cited: 16

Showing 16 citing articles:

Short-Term Wind Power Prediction by an Extreme Learning Machine Based on an Improved Hunter–Prey Optimization Algorithm
Xiangyue Wang, Li Ji, Lei Shao, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 991-991
Open Access | Times Cited: 23
Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Yujie Zhang, Lei Zhang, Duo Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9888-9888
Open Access | Times Cited: 21
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
Zhi-Feng Liu, You-Yuan Liu, Xiaorui Chen, et al.
Applied Energy (2024) Vol. 360, pp. 122785-122785
Closed Access | Times Cited: 7
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
Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power
Guodong You, Z. Chang, Xing-Yun Li, et al.
Electric Power Systems Research (2024) Vol. 236, pp. 110904-110904
Closed Access | Times Cited: 5
Multi-Step Short-Term Wind Power Prediction Model Based on CEEMD and Improved Snake Optimization Algorithm
Mengling Zhao, Xuan Zhou
IEEE Access (2024) Vol. 12, pp. 50755-50778
Open Access | Times Cited: 4
Study of Wind Power Prediction in ELM Based on Improved SSA
Lei Shao, W. Huang, Hongli Liu, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2025)
Closed Access
A combined optimization prediction model for earth-rock dam seepage pressure using multi-machine learning fusion with decomposition data-driven
Bo Liu, Weijun Cen, Changhai Zheng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122798-122798
Closed Access | Times Cited: 9
A review of artificial intelligence methods for predicting gravity dam seepage, challenges and way-out
Priyanka Ashok Garsole, Shantini A. Bokil, Vijendra Kumar, et al.
AQUA - Water Infrastructure Ecosystems and Society (2023) Vol. 72, Iss. 7, pp. 1228-1248
Open Access | Times Cited: 8
Vertical Wind Profile Estimation Using Hybrid Convolutional Neural Networks and Bidirectional Long Short-Term Memory
Ali Al‐Shaikhi, Hilal H. Nuha, Abdulmajid Lawal, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 5, pp. 6915-6924
Closed Access | Times Cited: 5
Homogenized Point Mutual Information and Deep Quantum Reinforced Wind Power Prediction
W. G. Jency, J. E. Judith
International Transactions on Electrical Energy Systems (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8
A Comprehensive Multivariate Wind Speed Forecasting Model Utilizing Deep Learning Neural Networks
Donglai Wei, Zhongda Tian
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 12, pp. 16809-16828
Closed Access | Times Cited: 1
A Short-Term Wind Power Prediction Based on Vmd-Qhdbo-Kelm
Guodong You, Z. Chang, Zi-Yue Xiao, et al.
(2024)
Closed Access
Voltage control method for multi-energy system based on the coupling of renewable energy hydrogen production and storage
Hao Zuo, Yun Teng, Zhe Chen
Science and Technology for Energy Transition (2024) Vol. 79, pp. 60-60
Open Access
A novel combined model based on advanced optimization algorithm, and deep learning model for abnormal wind speed identification and reconstruction
Anfeng Zhu, Qiancheng Zhao, Zhaoyao Shi, et al.
Energy (2024), pp. 133510-133510
Closed Access
Short-term Wind Speed Forecasting Based on Singular Spectrum Analysis, Fuzzy C-Means Clustering, and Improved POABP
Gonggui Chen, Mengyuan Zhu, Feng Qin
2021 China Automation Congress (CAC) (2022), pp. 653-659
Closed Access | Times Cited: 1
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