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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 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: 38

Showing 1-25 of 38 citing articles:

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 95
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
Dongdong Zhang, Baian Chen, Hongyu Zhu, et al.
Energy (2023) Vol. 285, pp. 128762-128762
Closed Access | Times Cited: 69
A new paradigm based on Wasserstein Generative Adversarial Network and time-series graph for integrated energy system forecasting
Zhirui Tian, Gai Mei
Energy Conversion and Management (2025) Vol. 326, pp. 119484-119484
Closed Access | Times Cited: 1
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
Closed Access | Times Cited: 38
A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network
Tianhong Liu, Shengli Qi, Xianzhu Qiao, et al.
Energy (2023) Vol. 288, pp. 129904-129904
Closed Access | Times Cited: 24
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 23
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 11
An advanced airport terminal cooling load forecasting model integrating SSA and CNN-Transformer
Bochao Chen, Wansheng Yang, Biao Yan, et al.
Energy and Buildings (2024) Vol. 309, pp. 114000-114000
Closed Access | Times Cited: 8
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
Yuhan Wang, Chu Zhang, Yongyan Fu, et al.
Energy (2023) Vol. 280, pp. 128171-128171
Closed Access | Times Cited: 19
Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
Closed Access | Times Cited: 6
A new multiregional carbon emissions forecasting model based on a multivariable information fusion mechanism and hybrid spatiotemporal graph convolution network
Zhen Shao, Shina Gao, Kaile Zhou, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 119976-119976
Closed Access | Times Cited: 5
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: 5
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 5
A Novel Wind Power Probabilistic Forecasting System Based on Transformer Networks and Multi-Objective Optimization
Q.S. Shu, Yao Dong, Mengyuan Tong, et al.
(2025)
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
Prediction of Short-Term Solar Irradiance Using the ProbSparse Attention Mechanism for a Sustainable Energy Development Strategy
Z. Zhuang, Huaizhi Wang, Cilong Yu
Sustainability (2025) Vol. 17, Iss. 3, pp. 1075-1075
Open Access
Environmental policy-driven electricity consumption prediction: A novel buffer-corrected Hausdorff fractional grey model informed by two-stage enhanced multi-objective optimization
Yuansheng Qian, Zhijie Zhu, Xinsong Niu, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124540-124540
Closed Access
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: 13
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
Recent advances in data-driven prediction for wind power
Yaxin Liu, Yunjing Wang, Qingtian Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 10
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 3
An ultra-short-term wind speed correction method based on the fluctuation characteristics of wind speed
Xiong Xiong, Ruilin Zou, Tao Sheng, et al.
Energy (2023) Vol. 283, pp. 129012-129012
Closed Access | Times Cited: 9
A short-term hybrid wind speed prediction model based on decomposition and improved optimization algorithm
Lu Wang, Yilan Liao
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 8
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
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