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:
An optimized complementary prediction method based on data feature extraction for wind speed forecasting
Jujie Wang, Dongming Gao, Zhenzhen Zhuang, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102068-102068
Closed Access | Times Cited: 14
Jujie Wang, Dongming Gao, Zhenzhen Zhuang, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102068-102068
Closed Access | Times Cited: 14
Showing 14 citing articles:
An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 99
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 99
Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning
Keerthi NagaSree Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119063-119063
Open Access | Times Cited: 40
Keerthi NagaSree Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119063-119063
Open Access | Times Cited: 40
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 40
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 40
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
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 29
Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 29
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 29
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Significant Wave Height Prediction Based on Improved Fuzzy C-Means Clustering and Bivariate Kernel Density Estimation
Jianguo Zhou, Luming Zhou, Yunlong Zhao, et al.
Renewable Energy (2025), pp. 122787-122787
Closed Access
Jianguo Zhou, Luming Zhou, Yunlong Zhao, et al.
Renewable Energy (2025), pp. 122787-122787
Closed Access
Hybrid wind speed optimisation forecasting system based on linear and nonlinear deep neural network structure and data preprocessing fusion
Jiyang Wang, J Che, Zhiwu Li, et al.
Future Generation Computer Systems (2024), pp. 107565-107565
Closed Access | Times Cited: 1
Jiyang Wang, J Che, Zhiwu Li, et al.
Future Generation Computer Systems (2024), pp. 107565-107565
Closed Access | Times Cited: 1
Research on Abnormal Identification of User Behavior Data on Sports Mobile Education Platform
Ying Liu, Daichen Li
(2024), pp. 309-323
Closed Access
Ying Liu, Daichen Li
(2024), pp. 309-323
Closed Access
Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system
Jiayi Qiu, Yatao Shen, Ziwen Gu, et al.
IET Energy Systems Integration (2024)
Closed Access
Jiayi Qiu, Yatao Shen, Ziwen Gu, et al.
IET Energy Systems Integration (2024)
Closed Access
A hybrid model based on Discrete wavelet prediction (DWT), Bidirectional recurrent neural networks to wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemipour
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemipour
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A novel discriminated deep learning ensemble paradigm based on joint feature contribution for wind speed forecasting
Jujie Wang, Dongming Gao, Yu Chen
Energy Conversion and Management (2022) Vol. 270, pp. 116187-116187
Closed Access | Times Cited: 2
Jujie Wang, Dongming Gao, Yu Chen
Energy Conversion and Management (2022) Vol. 270, pp. 116187-116187
Closed Access | Times Cited: 2
Interval prediction for wind speed based on box-plot data processing and optimized integrated modeling
Yayu Liu, Kun Li
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2023), pp. 1081-1086
Closed Access
Yayu Liu, Kun Li
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2023), pp. 1081-1086
Closed Access
