Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Evolving long short-term memory neural network for wind speed forecasting
Cong Huang, Hamid Reza Karimi, Peng Mei, et al.
Information Sciences (2023) Vol. 632, pp. 390-410
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 21
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 14
A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 7
MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions
Rongtao Zhang, Xueling Ma, Weiping Ding, et al.
Information Sciences (2023) Vol. 646, pp. 119382-119382
Closed Access | Times Cited: 15
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
Zhi-Feng Liu, You-Yuan Liu, Xiaorui Chen, et al.
Applied Energy (2024) Vol. 360, pp. 122785-122785
Closed Access | Times Cited: 5
A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Intelligent long-term prediction of wind-induced response of super high-rise buildings during typhoons based on wind tunnel tests
Feiqiang Li, Zhuangning Xie, Lanfang Zhang, et al.
Journal of Building Engineering (2025), pp. 112144-112144
Closed Access
An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies
Mahmoud Ragab
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network
Xing Hou, Fangzhen Ge, Debao Chen, et al.
Information Sciences (2023) Vol. 649, pp. 119627-119627
Closed Access | Times Cited: 12
DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 12
Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
Xiaofeng Xu, Xiaoxi Cao, Lean Yu
Information Sciences (2024) Vol. 681, pp. 121235-121235
Closed Access | Times Cited: 4
Design and optimal scheduling of forecasting-based campus multi-energy complementary energy system
Weichao Dong, Hexu Sun, Zheng Li, et al.
Energy (2024) Vol. 309, pp. 133088-133088
Closed Access | Times Cited: 3
Objective-hierarchy based large-scale evolutionary algorithm for improving joint sparsity-compression of neural network
Qingzhu Wang, Qiushi Zhang, Fanqi Meng, et al.
Information Sciences (2023) Vol. 640, pp. 119095-119095
Closed Access | Times Cited: 8
Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazilian Market
Thiago Nicolau Magalhães de Souza Conte, Oliveira Júnior
Energies (2024) Vol. 17, Iss. 4, pp. 829-829
Open Access | Times Cited: 2
Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search
Jinxing Che, Wenxin Xia, Yifan Xu, et al.
Information Sciences (2024) Vol. 695, pp. 121736-121736
Closed Access | Times Cited: 2
A short-term wind speed prediction method utilizing rolling decomposition and time-series extension to avoid information leakage
Pinhan Zhou, Lian Shen, Yan Han, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 3338-3362
Closed Access | Times Cited: 1
Evaluation of the Complementary Characteristics for Wind-Photovoltaic-Hydro Hybrid System Considering Multiple Uncertainties in the Medium and Long Term
Lu Lu, Wenlin Yuan, Hongshi Xu, et al.
Water Resources Management (2023) Vol. 38, Iss. 2, pp. 793-814
Closed Access | Times Cited: 3
A Novel Two-Dimensional Convolutional Neural Network-Based an Hour-Ahead Wind Speed Prediction Method
Mohammadhossein Nazemi, Shaikat Chowdhury, Xiaodong Liang
IEEE Access (2023) Vol. 11, pp. 118878-118889
Open Access | Times Cited: 2
Dynamic modeling and stability analysis of parafoil traction cable for high altitude wind power generation
Xinyu Long, Mingwei Sun, Zengqiang Chen
Structures (2023) Vol. 58, pp. 105454-105454
Closed Access | Times Cited: 2
TFFS: A trainable federal fusion strategy for multistep time series forecasting
Xiaorui Shao, Chang Soo Kim
Information Sciences (2024) Vol. 679, pp. 121126-121126
Closed Access
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
Wind speed prediction by utilizing geographic information system and machine learning approach: A case study of Karabük province in Türkiye
Emrehan Gürsoy, Mehmet Gürdal, Engin Gedik
International Journal of Green Energy (2024), pp. 1-17
Closed Access
Exploring Long Short Term Memory Algorithms for Low Energy Data Aggregation
Gi Hwan Oh
Journal of Machine and Computing (2024), pp. 71-82
Open Access
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
Junheng Pang, Sheng Dong
(2024)
Closed Access
Page 1 - Next Page

Scroll to top