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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:

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning
Jiajun He, Chuanjin Yu, Yongle Li, et al.
Energy Conversion and Management (2019) Vol. 205, pp. 112418-112418
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 556
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 205
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network
Jiandong Duan, Peng Wang, Wentao Ma, et al.
Energy (2020) Vol. 214, pp. 118980-118980
Closed Access | Times Cited: 178
Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history
Yaoran Chen, Zhikun Dong, Yan Wang, et al.
Energy Conversion and Management (2020) Vol. 227, pp. 113559-113559
Closed Access | Times Cited: 146
Very short-term forecasting of wind power generation using hybrid deep learning model
Md. Alamgir Hossain, Ripon K. Chakrabortty, Sondoss Elsawah, et al.
Journal of Cleaner Production (2021) Vol. 296, pp. 126564-126564
Open Access | Times Cited: 128
Short-term wind power forecasting based on Attention Mechanism and Deep Learning
Bangru Xiong, Lu Lou, Xinyu Meng, et al.
Electric Power Systems Research (2022) Vol. 206, pp. 107776-107776
Closed Access | Times Cited: 106
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 100
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 73
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh, et al.
Energy (2023) Vol. 275, pp. 127430-127430
Open Access | Times Cited: 43
Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms
Amirhossein Ahmadi, Mojtaba Nabipour, Behnam Mohammadi‐Ivatloo, et al.
IEEE Access (2020) Vol. 8, pp. 151511-151522
Open Access | Times Cited: 108
Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform
Weibiao Qiao, Zhaoyang Li, Wei Liu, et al.
International Journal of Energy Research (2021) Vol. 46, Iss. 2, pp. 1766-1788
Open Access | Times Cited: 100
Deep learning in electrical utility industry: A comprehensive review of a decade of research
Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 104000-104000
Closed Access | Times Cited: 96
Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm
Yingchao Dong, Hongli Zhang, Cong Wang, et al.
Neurocomputing (2021) Vol. 462, pp. 169-184
Closed Access | Times Cited: 92
A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization
Anbo Meng, Shun Chen, Zuhong Ou, et al.
Energy (2021) Vol. 238, pp. 121795-121795
Closed Access | Times Cited: 85
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 80
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 78
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
Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform
Yu Lin, Kechi Chen, Xi Zhang, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109723-109723
Closed Access | Times Cited: 63
A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing
Daniel Tan, Manu Suvarna, Yee Shee Tan, et al.
Applied Energy (2021) Vol. 291, pp. 116808-116808
Open Access | Times Cited: 59
Graph optimization neural network with spatio-temporal correlation learning for multi-node offshore wind speed forecasting
Xiulin Geng, Lingyu Xu, Xiaoyu He, et al.
Renewable Energy (2021) Vol. 180, pp. 1014-1025
Closed Access | Times Cited: 58
Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm
Guoqiang Niu, Xiaoyong Li, Xin Wan, et al.
Journal of Cleaner Production (2022) Vol. 345, pp. 131140-131140
Closed Access | Times Cited: 47
An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy (2023) Vol. 286, pp. 129640-129640
Closed Access | Times Cited: 38
Integrated adsorption using ultrahigh-porosity magnesium oxide with multi-output predictive deep belief networks: A robust approach for fluoride treatment
Đức Anh Nguyễn, Viet Bac Nguyen, Am Jang
Chemical Engineering Journal (2024) Vol. 484, pp. 149586-149586
Closed Access | Times Cited: 9
Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2024) Vol. 23, pp. 102504-102504
Open Access | Times Cited: 8
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