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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:

Ultra-short-term wind power prediction method based on FTI-VACA-XGB model
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121185-121185
Open Access | Times Cited: 20

Showing 20 citing articles:

High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 42
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
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 16
Research on prediction of PPV in open-pit mine used RUN-XGBoost model
Mingzhi Sun, Jiamian Yang, Chengye Yang, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28246-e28246
Open Access | Times Cited: 10
LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors
Peng Lei, Fanglan Ma, Changsheng Zhu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2521-2521
Open Access | Times Cited: 9
Using Crafted Features and Polar Bear Optimization Algorithm for Short-Term Electric Load Forecast System
Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic
Energy and AI (2025), pp. 100470-100470
Open Access | Times Cited: 1
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
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model
Wenxin Xia, Jinxing Che, Kun Hu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124764-124764
Closed Access | Times Cited: 4
A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning
Yan Chen, Miaolin Yu, Haochong Wei, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 580-580
Open Access
Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model
Na Fang, Zhengguang Liu, Shengli Fan
Energies (2025) Vol. 18, Iss. 6, pp. 1465-1465
Open Access
Privacy preserving ultra-short-term prediction in clustered wind farms with encrypted data sharing: A secure multi-party computation approach
Hang Fan, Xiaoyu Fan, Wei Wei, et al.
Expert Systems with Applications (2025), pp. 127218-127218
Closed Access
Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction
Chu Zhang, Zihan Tao, Jinlin Xiong, et al.
Renewable Energy (2024) Vol. 232, pp. 121085-121085
Closed Access | Times Cited: 3
Technical indicator enhanced ultra‐short‐term wind power forecasting based on long short‐term memory network combined XGBoost algorithm
Yingying Zheng, Shijie Guan, Kailei Guo, et al.
IET Renewable Power Generation (2024)
Open Access | Times Cited: 2
An intelligent optimized deep network-based predictive system for wind power plant application
Mohammad Abdul Baseer, Anas Almunif, Ibrahim Alsaduni, et al.
Electrical Engineering (2024) Vol. 106, Iss. 5, pp. 6295-6307
Closed Access | Times Cited: 1
Slope deformation prediction based on noise reduction and deep learning: a point prediction and probability analysis method
Man Shao, Fuming Liu
Frontiers in Earth Science (2024) Vol. 12
Closed Access | Times Cited: 1
Generative Adversarial Network-Assisted Framework for Power Management
Noman Khan, Samee U. Khan, Ahmed Farouk, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2596-2610
Closed Access | Times Cited: 1
Short-Term Wind Power Prediction Based on a Variational Mode Decomposition–BiTCN–Psformer Hybrid Model
Wu Xu, Wenjing Dai, Dongyang Li, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4089-4089
Open Access | Times Cited: 1
The short-term wind power prediction based on a multi-layer stacked model of BO-CNN-BiGRU-SA
Wen Chen, Huang Hong-quan, Xingke Ma, et al.
Digital Signal Processing (2024) Vol. 156, pp. 104838-104838
Closed Access | Times Cited: 1
Wind Farm Cluster Power Prediction Based on Graph Deviation Attention Network with Learnable Graph Structure and Dynamic Error Correction During Load Peak and Valley Periods
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Energy (2024), pp. 133645-133645
Closed Access
Ultra-short-term Prediction for Wind Power via Intelligent Reductional Reconfiguration of Wind Conditions and Upgraded Stepwise Modelling with Embedded Feature Engineering
Yang Hu, Xiaoyu Hu, X. Steve Yao, et al.
Renewable Energy (2024), pp. 122155-122155
Closed Access
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