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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 speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression
Zhendong Zhang, Lei Ye, Hui Qin, et al.
Applied Energy (2019) Vol. 247, pp. 270-284
Closed Access | Times Cited: 260

Showing 26-50 of 260 citing articles:

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting
Wenlong Fu, Kai Wang, Jiawen Tan, et al.
Energy Conversion and Management (2020) Vol. 205, pp. 112461-112461
Closed Access | Times Cited: 128
Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network
Yongqi Liu, Hui Qin, Zhendong Zhang, et al.
Applied Energy (2019) Vol. 253, pp. 113596-113596
Closed Access | Times Cited: 118
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
Xiaoan Yan, Ying Liu, Yadong Xu, et al.
Energy Conversion and Management (2020) Vol. 225, pp. 113456-113456
Closed Access | Times Cited: 114
Wind speed forecasting based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation
Zhendong Zhang, Hui Qin, Yongqi Liu, et al.
Energy Conversion and Management (2019) Vol. 196, pp. 1395-1409
Closed Access | Times Cited: 110
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method
Ling Xiang, Jingxu Li, Aijun Hu, et al.
Energy Conversion and Management (2020) Vol. 220, pp. 113098-113098
Closed Access | Times Cited: 102
Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest
Feifei He, Jianzhong Zhou, Mo Li, et al.
Applied Energy (2020) Vol. 262, pp. 114396-114396
Closed Access | Times Cited: 99
Short-term ship motion attitude prediction based on LSTM and GPR
Qian Sun, Zhong Tang, Jingpeng Gao, et al.
Applied Ocean Research (2021) Vol. 118, pp. 102927-102927
Open Access | Times Cited: 98
A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches
Shuai Wang, Jianzhou Wang, Haiyan Lu, et al.
Energy (2021) Vol. 234, pp. 121275-121275
Closed Access | Times Cited: 94
Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants
Hoang-Phuong Nguyen, Piero Baraldi, Enrico Zio
Applied Energy (2020) Vol. 283, pp. 116346-116346
Open Access | Times Cited: 87
A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
Wenlong Fu, Kai Zhang, Kai Wang, et al.
Renewable Energy (2020) Vol. 164, pp. 211-229
Closed Access | Times Cited: 86
An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
Muhammad Nouman Amjad Raja, Sanjay Kumar Shukla, Muhammad Umer Arif Khan
International Journal of Pavement Engineering (2021) Vol. 23, Iss. 10, pp. 3505-3521
Open Access | Times Cited: 85
Short-term optimal operation of wind-solar-hydro hybrid system considering uncertainties
Zhendong Zhang, Hui Qin, Jie Li, et al.
Energy Conversion and Management (2019) Vol. 205, pp. 112405-112405
Closed Access | Times Cited: 83
Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model
Baoxuan Zhao, Changming Cheng, Zhike Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 12, pp. 9557-9567
Closed Access | Times Cited: 82
Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for probabilistic framework
Xinyu Zhao, Na Jiang, Jinfu Liu, et al.
Energy Conversion and Management (2019) Vol. 203, pp. 112239-112239
Closed Access | Times Cited: 80
A Novel Wind Speed Interval Prediction Based on Error Prediction Method
Geng Tang, Yifan Wu, Chaoshun Li, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 16, Iss. 11, pp. 6806-6815
Closed Access | Times Cited: 79
Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network
Shaoqian Pei, Hui Qin, Zhendong Zhang, et al.
Energy Conversion and Management (2019) Vol. 196, pp. 779-792
Closed Access | Times Cited: 76
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: 62
A simple approach for short-term wind speed interval prediction based on independently recurrent neural networks and error probability distribution
Adnan Saeed, Chaoshun Li, Zhenhao Gan, et al.
Energy (2021) Vol. 238, pp. 122012-122012
Closed Access | Times Cited: 62
Short-term runoff prediction using deep learning multi-dimensional ensemble method
Guanjun Liu, Zhengyang Tang, Hui Qin, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127762-127762
Closed Access | Times Cited: 59
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
Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN
Xiaoxun Zhu, Ruizhang Liu, Yao Chen, et al.
Energy (2021) Vol. 236, pp. 121523-121523
Closed Access | Times Cited: 56
GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
Qian He, Ming Wang, Kai Liu, et al.
Earth system science data (2022) Vol. 14, Iss. 7, pp. 3273-3292
Open Access | Times Cited: 46
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
A Multistep Direct and Indirect Strategy for Predicting Wind Direction Based on the EMD-LSTM Model
Yang Ding, Xiao‐Wei Ye, Yong Guo
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 37

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