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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 hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization
Anbo Meng, Shun Chen, Zuhong Ou, et al.
Energy (2021) Vol. 238, pp. 121795-121795
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 156
A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 100
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
Haixiang Zang, Dianhao Chen, Jingxuan Liu, et al.
Energy (2024) Vol. 293, pp. 130538-130538
Closed Access | Times Cited: 22
A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data
Zhaohua Liu, Chang-Tong Wang, Hua‐Liang Wei, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123237-123237
Closed Access | Times Cited: 18
Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks
Qiang Wu, Hongling Zheng, Xiaozhu Guo, et al.
Renewable Energy (2022) Vol. 199, pp. 977-992
Closed Access | Times Cited: 65
Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field
Zhen Shao, Jun Han, Wei Zhao, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116138-116138
Closed Access | Times Cited: 40
A CNN encoder decoder LSTM model for sustainable wind power predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100869-100869
Closed Access | Times Cited: 29
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 26
An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network
Lei Yao, Jie Zheng, Yanqiu Xiao, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108181-108181
Closed Access | Times Cited: 25
Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
Zhen Wang, Y. Ying, Lei Kou, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 444-444
Open Access | Times Cited: 10
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
Zongxu Liu, Hui Guo, Y. Zhang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 350-350
Open Access | Times Cited: 1
Dynamic time-delay discrete grey model based on GOWA operator for renewable energy generation cost prediction
Yue Yu, Xinping Xiao, Mingyun Gao, et al.
Renewable Energy (2025), pp. 122408-122408
Closed Access | Times Cited: 1
A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network
Anbo Meng, Shu Chen, Zuhong Ou, et al.
Energy (2022) Vol. 261, pp. 125276-125276
Closed Access | Times Cited: 35
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 31
State‐of‐Health Prediction for Lithium‐Ion Batteries Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise‐Gate Recurrent Unit Fusion Model
Fei Xia, Kangan Wang, Jiajun Chen
Energy Technology (2022) Vol. 10, Iss. 4
Closed Access | Times Cited: 30
A physics-inspired neural network model for short-term wind power prediction considering wake effects
Naizhi Guo, Ke-Zhong Shi, Bo Li, et al.
Energy (2022) Vol. 261, pp. 125208-125208
Closed Access | Times Cited: 30
Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection
Xin Wang, Xiaogang Dong, Yanan Zhang, et al.
Journal of Bionic Engineering (2022) Vol. 20, Iss. 3, pp. 1153-1174
Open Access | Times Cited: 29
VMD-CAT: A hybrid model for short-term wind power prediction
Huan Zheng, Zhenda Hu, Xuguang Wang, et al.
Energy Reports (2023) Vol. 9, pp. 199-211
Open Access | Times Cited: 20
Prediction of regional wind power generation using a multi-objective optimized deep learning model with temporal pattern attention
Wenhe Chen, Hanting Zhou, Longsheng Cheng, et al.
Energy (2023) Vol. 278, pp. 127942-127942
Closed Access | Times Cited: 20
A comprehensive approach for PV wind forecasting by using a hyperparameter tuned GCVCNN-MRNN deep learning model
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy (2023) Vol. 283, pp. 129189-129189
Closed Access | Times Cited: 17
A wind power forecasting model based on data decomposition and cross-attention mechanism with cosine similarity
Jiang Li, Yifan Wang
Electric Power Systems Research (2024) Vol. 229, pp. 110156-110156
Closed Access | Times Cited: 6
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 6
Short-term wind power prediction framework using numerical weather predictions and residual convolutional long short-term memory attention network
Chenlei Xie, Xuelei Yang, Tao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108543-108543
Closed Access | Times Cited: 6
A novel network training approach for solving sample imbalance problem in wind power prediction
Anbo Meng, Zikang Xian, Hao Yin, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116935-116935
Closed Access | Times Cited: 16
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