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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:

Multi-step ahead wind power forecasting based on dual-attention mechanism
Muhammad Aslam, Jun‐Sung Kim, Jaesung Jung
Energy Reports (2022) Vol. 9, pp. 239-251
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation
Tabish Ali, Sarfaraz Ahmed, Muhammad Aslam
Antibiotics (2023) Vol. 12, Iss. 3, pp. 523-523
Open Access | Times Cited: 68
A Critical Review of RNN and LSTM Variants in Hydrological Time Series Predictions
Muhammad Waqas, Usa Wannasingha Humphries
MethodsX (2024) Vol. 13, pp. 102946-102946
Open Access | Times Cited: 22
Wind speed short-term prediction using recurrent neural network GRU model and stationary wavelet transform GRU hybrid model
Darío Gerardo Fantini, Reginaldo Nunes da Silva, Mario Siqueira, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118333-118333
Closed Access | Times Cited: 16
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: 40
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
Shaolong Sun, Zongjuan Du, Kun Jin, et al.
Applied Energy (2023) Vol. 350, pp. 121749-121749
Closed Access | Times Cited: 34
Exploration of dual-attention mechanism-based deep learning for multi-step-ahead flood probabilistic forecasting
Zhen Cui, Shenglian Guo, Yanlai Zhou, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129688-129688
Closed Access | Times Cited: 27
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
Reetun Maiti, Balagopal G. Menon, Anand Abraham
Expert Systems with Applications (2024) Vol. 255, pp. 124550-124550
Closed Access | Times Cited: 9
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
Hybrid model based on similar power extraction and improved temporal convolutional network for probabilistic wind power forecasting
Yuejiang Chen, Yingjing He, Jiang‐Wen Xiao, et al.
Energy (2024) Vol. 304, pp. 131966-131966
Closed Access | Times Cited: 6
Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey
Malka N. Halgamuge
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2146-2175
Closed Access | Times Cited: 5
Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula
Jinchang Li, Jiapeng Chen, Z. Q. Chen, et al.
Applied Soft Computing (2024) Vol. 164, pp. 112007-112007
Closed Access | Times Cited: 5
Sustainable Energy: Advancing Wind Power Forecasting with Grey Wolf Optimization and GRU Models
Zainab Al-Ibraheemi, Samaher Al-Janabi
Results in Engineering (2024), pp. 102930-102930
Open Access | Times Cited: 5
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
A novel wind speed prediction model based on neural networks, wavelet transformation, mutual information, and coot optimization algorithm
Faezeh Amirteimoury, Farshid Keynia, Elaheh Amirteimoury, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)
Khoa-Minh Nguyen-Huu, Phan Quoc Dzung, Yuan‐Kang Wu, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3792-3792
Open Access | Times Cited: 12
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting
G. H. Harish Nayak, Md Wasi Alam, G. Avinash, et al.
Potato Research (2024)
Closed Access | Times Cited: 4
Ultra-Short-Term Photovoltaic Power Prediction by NRGA-BiLSTM Considering Seasonality and Periodicity of Data
Hong Wu, Haipeng Liu, Huaiping Jin, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4739-4739
Open Access | Times Cited: 4
Dual-modality Encoder-decoder Framework for Urban Real-time Rainfall-runoff Prediction
Yuan Tian, Ruonan Cui, Weiming Fu, et al.
Water Resources Management (2025)
Closed Access
Artificial intelligence in drug resistance management
Amir Elalouf, Hadas Elalouf, Ariel Rosenfeld, et al.
3 Biotech (2025) Vol. 15, Iss. 5
Open Access
Ultra-short-term wind power forecasting techniques: comparative analysis and future trends
Guangzheng Yu, Lingxu Shen, Qi Dong, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 3
Missing interpolation model for wind power data based on the improved CEEMDAN method and generative adversarial interpolation network
Lingyun Zhao, Zhuoyu Wang, Tingxi Chen, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 5, pp. 517-529
Open Access | Times Cited: 5
Short-term prediction of wind power based on grey wolf optimization Elman neural network algorithm
Shu Liu, Zihan Sun, Yi Sun, et al.
Journal of Physics Conference Series (2024) Vol. 2703, Iss. 1, pp. 012043-012043
Open Access | Times Cited: 1
A Novel Integrated Approach for Short-Term Wind Power Forecasting
Ubaid Ahmed, Syed Sami Abbas, Sohail Razzaq, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Short-Term Wind Power Prediction Based on Feature-Weighted and Combined Models
Deyang Yin, Lei Zhao, Kai Zhai, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7698-7698
Open Access | Times Cited: 1
ConvFormer-KDE: A Long-Term Point–Interval Prediction Framework for PM2.5 Based on Multi-Source Spatial and Temporal Data
Shaofu Lin, Yuying Zhang, Xingjia Fei, et al.
Toxics (2024) Vol. 12, Iss. 8, pp. 554-554
Open Access
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