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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:

A novel hybrid model for short-term prediction of wind speed
Haize Hu, Yunyi Li, Xiangping Zhang, et al.
Pattern Recognition (2022) Vol. 127, pp. 108623-108623
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 76
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting
Yin Chen, Shuhua Mao
Energy (2023) Vol. 269, pp. 126844-126844
Closed Access | Times Cited: 61
A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 28
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 19
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: 40
Short-term wind power prediction method based on CEEMDAN-GWO-Bi-LSTM
Hongbin Sun, Qing Cui, Jingya Wen, et al.
Energy Reports (2024) Vol. 11, pp. 1487-1502
Open Access | Times Cited: 13
Quantile deep learning model and multi-objective opposition elite marine predator optimization algorithm for wind speed prediction
Jianzhou Wang, Honggang Guo, Zhiwu Li, et al.
Applied Mathematical Modelling (2022) Vol. 115, pp. 56-79
Closed Access | Times Cited: 28
Robformer: A robust decomposition transformer for long-term time series forecasting
Yang Yu, Ruizhe Ma, Zongmin Ma
Pattern Recognition (2024) Vol. 153, pp. 110552-110552
Closed Access | Times Cited: 6
Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach
Mushir Akhtar, M. Tanveer, Mohd. Arshad
Pattern Recognition (2024) Vol. 155, pp. 110637-110637
Open Access | Times Cited: 5
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Yagang Zhang, Yinchuan Chen, Zihan Qi, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116221-116221
Closed Access | Times Cited: 22
A fuzzy time series forecasting model with both accuracy and interpretability is used to forecast wind power
Xinjie Shi, Jianzhou Wang, Bochen Zhang
Applied Energy (2023) Vol. 353, pp. 122015-122015
Closed Access | Times Cited: 13
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: 4
Self‐paced learning long short‐term memory based on intelligent optimization for robust wind power prediction
Shun Yang, Xiaofei Deng, Dongran Song
IET Control Theory and Applications (2024)
Open Access | Times Cited: 4
Winds of Change: Enhancing Wind Power Generation Forecasting with LSTM Models and Advanced Techniques in a Single Turbine Wind Farm
Abdel Ali Mana
Artificial Intelligence and Applications (2024)
Open Access | Times Cited: 3
Deep autoregressive models with spectral attention
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodrı́guez
Pattern Recognition (2022) Vol. 133, pp. 109014-109014
Open Access | Times Cited: 14
PWDformer: Deformable transformer for long-term series forecasting
Zheng Wang, Haowei Ran, Jinchang Ren, et al.
Pattern Recognition (2023) Vol. 147, pp. 110118-110118
Closed Access | Times Cited: 8
A Short-Term Wind Speed Forecasting Model Based on EMD/CEEMD and ARIMA-SVM Algorithms
Ning Chen, Hongxin Sun, Qi Zhang, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6085-6085
Open Access | Times Cited: 10
A mutually embedded perception model for solar corona
Jingmin Zhao, Xueshang Feng, Changqing Xiang, et al.
Monthly Notices of the Royal Astronomical Society (2023) Vol. 523, Iss. 1, pp. 1577-1590
Closed Access | Times Cited: 4
Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution
Jun Li, Ke-xue Sun
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12290-12290
Open Access | Times Cited: 2
Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction
Jiawen Li, Minghao Liu, Lei Wen
Frontiers in Energy Research (2024) Vol. 11
Open Access
A Novel Framework for Wind Power Prediction Based on Optimized Variational Mode Decomposition and Temporal Convolutional Network with Hybrid Attention
xiaoyang zheng, Xiaoheng Luo, Dezhi Liu
(2024)
Closed Access
Enhancing Dynamic Wind Power Forecasting Using Cluster-Based Intelligence Swarm Optimization Technique
Asmaa S. Abdo, Engy El-Shafeiy, Aboul Ella Hassanien
Studies in systems, decision and control (2024), pp. 329-342
Closed Access
Dynamic convolutional time series forecasting based on adaptive temporal bilateral filtering
Dandan Zhang, Zhiqiang Zhang, Nanguang Chen, et al.
Pattern Recognition (2024) Vol. 158, pp. 110985-110985
Closed Access
Fusion k-means clustering and multi-head self-attention mechanism for a multivariate time prediction model with feature selection
Mingwei Cai, Xueling Ma, Chao Zhang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
SPWM Sampling Method Based on Area Difference Optimization
Hong You, Haize Hu, Mengge Fang
Journal of Electrical Engineering and Technology (2022) Vol. 18, Iss. 2, pp. 909-924
Closed Access | Times Cited: 1
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