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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 speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression
Jyotirmayee Naik, Prachitara Satapathy, P.K. Dash
Applied Soft Computing (2017) Vol. 70, pp. 1167-1188
Closed Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Grid Integration Challenges of Wind Energy: A Review
Shakir D. Ahmed, Fahad Saleh Al–Ismail, Md Shafiullah, et al.
IEEE Access (2020) Vol. 8, pp. 10857-10878
Open Access | Times Cited: 348
Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM
Xiaolei Liu, Zi Lin, Zi‐Ming Feng
Energy (2021) Vol. 227, pp. 120492-120492
Open Access | Times Cited: 307
Short-term wind speed prediction model based on GA-ANN improved by VMD
Yagang Zhang, Guifang Pan, Bing Chen, et al.
Renewable Energy (2019) Vol. 156, pp. 1373-1388
Closed Access | Times Cited: 262
Short-term wind speed forecasting using recurrent neural networks with error correction
Jikai Duan, Hongchao Zuo, Yulong Bai, et al.
Energy (2020) Vol. 217, pp. 119397-119397
Closed Access | Times Cited: 192
A novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
Short-term wind speed forecasting based on the Jaya-SVM model
Mingshuai Liu, Zheming Cao, Jing Zhang, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 121, pp. 106056-106056
Closed Access | Times Cited: 176
Short-term wind power forecasting approach based on Seq2Seq model using NWP data
Yu Zhang, Yanting Li, Guangyao Zhang
Energy (2020) Vol. 213, pp. 118371-118371
Closed Access | Times Cited: 170
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Xiaohui Yuan, Chen Chen, Min Jiang, et al.
Applied Soft Computing (2019) Vol. 82, pp. 105550-105550
Closed Access | Times Cited: 168
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
Applied Soft Computing (2020) Vol. 89, pp. 106116-106116
Open Access | Times Cited: 137
Short-term wind power prediction based on EEMD–LASSO–QRNN model
Yaoyao He, Yun Wang
Applied Soft Computing (2021) Vol. 105, pp. 107288-107288
Closed Access | Times Cited: 121
On the origins of randomization-based feedforward neural networks
Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
Applied Soft Computing (2021) Vol. 105, pp. 107239-107239
Closed Access | Times Cited: 120
A short-term wind power prediction model based on CEEMD and WOA-KELM
Yunfei Ding, Zijun Chen, Hongwei Zhang, et al.
Renewable Energy (2022) Vol. 189, pp. 188-198
Closed Access | Times Cited: 112
A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting
Jiandong Duan, Peng Wang, Wentao Ma, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107452-107452
Closed Access | Times Cited: 110
Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting
Vijaya Krishna Rayi, Sthita Prajna Mishra, Jyotirmayee Naik, et al.
Energy (2021) Vol. 244, pp. 122585-122585
Closed Access | Times Cited: 102
Short-term wind power forecasting based on SSA-VMD-LSTM
Xiao-Zhi Gao, Wang Guo, Chunxiao Mei, et al.
Energy Reports (2023) Vol. 9, pp. 335-344
Open Access | Times Cited: 50
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Yanfei Li, Haiping Wu, Hui Liu
Energy Conversion and Management (2018) Vol. 167, pp. 203-219
Closed Access | Times Cited: 159
A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression
Jyotirmayee Naik, P.K. Dash, Snehamoy Dhar
Renewable Energy (2019) Vol. 136, pp. 701-731
Closed Access | Times Cited: 118
Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy
Yanfei Li, Huipeng Shi, Feng-ze Han, et al.
Renewable Energy (2018) Vol. 135, pp. 540-553
Closed Access | Times Cited: 106
Stacked autoencoder based deep random vector functional link neural network for classification
Rakesh Katuwal, Ponnuthurai Nagaratnam Suganthan
Applied Soft Computing (2019) Vol. 85, pp. 105854-105854
Open Access | Times Cited: 99
Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism
Shuai Zhang, Yong Chen, Jiuhong Xiao, et al.
Renewable Energy (2021) Vol. 174, pp. 688-704
Closed Access | Times Cited: 96
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
Mohsen Paniri, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
Swarm and Evolutionary Computation (2021) Vol. 64, pp. 100892-100892
Closed Access | Times Cited: 91
A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting
Xinxin He, Jungang Luo, Peng Li, et al.
Water Resources Management (2020) Vol. 34, Iss. 2, pp. 865-884
Closed Access | Times Cited: 87
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: 78
Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine
Rugen Wang, Shaohui Zhang, Zhuyun Chen, et al.
Measurement (2021) Vol. 180, pp. 109467-109467
Closed Access | Times Cited: 77
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