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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:

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: 146

Showing 26-50 of 146 citing articles:

Multifactor interpretability method for offshore wind power output prediction based on TPE-CatBoost-SHAP
Jia-Ling Ruan, Yun Chen, Gang Lu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110081-110081
Closed Access
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
Power generation efficiency and resources saving of the hydropower industry using the extended data based convolutional neural network
Jiajun Huang, Peihao Zheng, Xuan Hu, et al.
Renewable Energy (2025), pp. 122541-122541
Closed Access
Overview of Data-Driven Models for Wind Turbine Wake Flows
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
TPST: A Traffic Flow Prediction Model Based on Spatial–Temporal Identity
Y. Hou, Buqing Cao, Jianxun Liu, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Closed Access
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer
Jujie Wang, Weiyi Jiang, Shuqin Shu, et al.
Energy (2025), pp. 135210-135210
Closed Access
Pseudo-Twin Neural Network of Full Multi-Layer Perceptron for Ultra-Short-Term Wind Power Forecasting
Yulong Yang, Jiaqi Wang, Baihui Chen, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 887-887
Open Access
Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A hybrid error correction method based on EEMD and ConvLSTM for offshore wind power forecasting
Lokmene Melalkia, Farid Berrezzek, Khaled Khelil, et al.
Ocean Engineering (2025) Vol. 325, pp. 120773-120773
Closed Access
Optimal energy storage system management in an uncertain smartgrid
Gholamreza Memarzadeh, Hossein Noori, Rasoul Memarzadeh, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116125-116125
Closed Access
Short-term wind speed forecasting based on a novel KANInformer model and improved dual decomposition
Zhiyuan Leng, Chen Lü, Bin Yi, et al.
Energy (2025), pp. 135551-135551
Closed Access
Multi-step ahead wind power forecasting based on multi-feature wavelet decomposition and convolution-gated recurrent unit model
S.N. Shringi, Lalit Mohan Saini, S. K. Aggarwal
Electrical Engineering (2025)
Closed Access
Wind power prediction based on improved self-attention mechanism combined with Bi-directional Temporal Convolutional Network
Jian Shi, Jiashen Teh, Ching‐Ming Lai
Energy (2025), pp. 135666-135666
Closed Access
Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13
Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval
Yunxiao Chen, Mingliang Bai, Yilan Zhang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 1953-1974
Closed Access | Times Cited: 12
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
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: 4
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 4
Computer-aided resilience: Advanced techniques for disaster management in smart urban environments
Ruiheng Li, Yi Di, Hao Tian
Sustainable Cities and Society (2024) Vol. 108, pp. 105437-105437
Closed Access | Times Cited: 4
Dynamic Real-Time Prediction of Reclaimed Water Volumes Using the Improved Transformer Model and Decomposition Integration Technology
Xiangyu Sun, Lina Zhang, Chao Wang, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6598-6598
Open Access | Times Cited: 4
Wind power forecasting using a GRU attention model for efficient energy management systems
Lakhdar Nadjib Boucetta, Youssouf Amrane, Saliha Arezki
Electrical Engineering (2024)
Closed Access | Times Cited: 4
Recurrent attention encoder-decoder network for multi-step interval wind power prediction
Xiaoling Ye, Cheng‐Cheng Liu, Xiong Xiong, et al.
Energy (2025), pp. 134317-134317
Closed Access
Multi-step LSTM Prediction Model for Offshore Wind Power Based on VMD of RIME Algorithm Combined with Attention Mechanisms
Yangzhou Du, Hongsheng Su, Yulong Che, et al.
Lecture notes in electrical engineering (2025), pp. 462-469
Closed Access
A lightweight dual-layer convolutional model for wind power forecasting
Yongsheng Ye, Liu Liu, Yang Li, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

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