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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:

Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition
Yulong Bai, Ming-De Liu, Lin Ding, et al.
Applied Energy (2021) Vol. 301, pp. 117461-117461
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
Jikai Duan, Mingheng Chang, Xiangyue Chen, et al.
Renewable Energy (2022) Vol. 200, pp. 788-808
Closed Access | Times Cited: 82
Multi-step prediction model enhanced by adaptive denoising and encoder-decoder for shield machine cutterhead torque in complex conditions
Deming Xu, Yuan Wang, Jingqi Huang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106398-106398
Closed Access | Times Cited: 2
A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms
Yagang Zhang, Yunpeng Zhao, Xiaoyu Shen, et al.
Applied Energy (2021) Vol. 305, pp. 117815-117815
Closed Access | Times Cited: 77
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
Jianzhou Wang, Mengzheng Lv, Zhiwu Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119129-119129
Closed Access | Times Cited: 62
Natural phase space reconstruction-based broad learning system for short-term wind speed prediction: Case studies of an offshore wind farm
Xuefang Xu, Shiting Hu, Peiming Shi, et al.
Energy (2022) Vol. 262, pp. 125342-125342
Closed Access | Times Cited: 58
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
Haiping Lin, Amin Gharehbaghi, Qian Zhang, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1655-1672
Open Access | Times Cited: 51
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
Fang Yuan, Jinxing Che
Knowledge-Based Systems (2022) Vol. 252, pp. 109440-109440
Closed Access | Times Cited: 46
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: 37
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 29
Inception-embedded attention memory fully-connected network for short-term wind power prediction
Linfei Yin, Mingshan Zhao
Applied Soft Computing (2023) Vol. 141, pp. 110279-110279
Closed Access | Times Cited: 22
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction
Ziyi Shi, Li Jia, Zheyuan Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107891-107891
Closed Access | Times Cited: 12
Transfer learning integrating similarity analysis for short-term and long-term building energy consumption prediction
Zhuoqun Xing, Yiqun Pan, Yiting Yang, et al.
Applied Energy (2024) Vol. 365, pp. 123276-123276
Closed Access | Times Cited: 12
A novel dynamic ensemble of numerical weather prediction for multi-step wind speed forecasting with deep reinforcement learning and error sequence modeling
Jing Zhao, Yiyi Guo, Yihua Lin, et al.
Energy (2024) Vol. 302, pp. 131787-131787
Closed Access | Times Cited: 8
A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique
Yagang Zhang, Jinghui Zhang, Leyi Yu, et al.
Energy (2022) Vol. 254, pp. 124378-124378
Closed Access | Times Cited: 34
Serial-parallel dynamic echo state network: A hybrid dynamic model based on a chaotic coyote optimization algorithm for wind speed prediction
Lin Ding, Yulong Bai, Manhong Fan, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118789-118789
Closed Access | Times Cited: 30
Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network
Guowei Zhang, Yi Zhang, Hui Wang, et al.
Energy (2023) Vol. 288, pp. 129618-129618
Closed Access | Times Cited: 19
Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, et al.
Applied Energy (2023) Vol. 341, pp. 121108-121108
Open Access | Times Cited: 17
A compensation approach for magnetic encoder error based on improved deep belief network algorithm
Wenjuan Jiang, Bolun Zheng, Didi Sheng, et al.
Sensors and Actuators A Physical (2024) Vol. 366, pp. 115003-115003
Closed Access | Times Cited: 6
Prediction of Total Nitrogen and Phosphorus in Surface Water by Deep Learning Methods Based on Multi-Scale Feature Extraction
Miao He, Shaofei Wu, Binbin Huang, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1643-1643
Open Access | Times Cited: 24
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer
Xinxin Wang, Shen Xiaopan, AI Xue-yi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0289161-e0289161
Open Access | Times Cited: 13
An echo state network model with the protein structure for time series prediction
Yuanpeng Gong, Shuxian Lun, Ming Li, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111257-111257
Closed Access | Times Cited: 5
Neural Networks with Transfer Learning and Frequency Decomposition for Wind Speed Prediction with Missing Data
Xiaoou Li, Yingqin Zhu
Mathematics (2024) Vol. 12, Iss. 8, pp. 1137-1137
Open Access | Times Cited: 4
Interval prediction of crude oil spot price volatility: An improved hybrid model integrating decomposition strategy, IESN and ARIMA
Jinliang Zhang, ziyi Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124195-124195
Closed Access | Times Cited: 4
A multi-scale and multi-factor optimized deep ensemble model for wind speed forecasting based on comprehensive feature extraction and anti-information leakage
Weiyi Jiang, Jujie Wang
Measurement (2025), pp. 116912-116912
Closed Access
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