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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 forecasting based on deep Bayesian model with uncertainty
Lei Liu, Jicheng Liu, Yu Ye, et al.
Renewable Energy (2023) Vol. 205, pp. 598-607
Closed Access | Times Cited: 55

Showing 1-25 of 55 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
Renewable energy integration in sustainable water systems: A review
Alireza Zakariazadeh, Razzaqul Ahshan, Rashid Al-Abri, et al.
Cleaner Engineering and Technology (2024) Vol. 18, pp. 100722-100722
Open Access | Times Cited: 34
A novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 23
Wind power forecasting system with data enhancement and algorithm improvement
Yagang Zhang, Xue Kong, Jingchao Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114349-114349
Closed Access | Times Cited: 19
PatchFormer: A novel patch-based transformer for accurate remaining useful life prediction of lithium-ion batteries
Lei Liu, Jiahui Huang, Hongwei Zhao, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236187-236187
Closed Access | Times Cited: 2
Application of the hybrid neural network model for energy consumption prediction of office buildings
Lize Wang, Dong Xie, Lifeng Zhou, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106503-106503
Closed Access | Times Cited: 33
Digital twin of wind farms via physics-informed deep learning
Jincheng Zhang, Xiaowei Zhao
Energy Conversion and Management (2023) Vol. 293, pp. 117507-117507
Open Access | Times Cited: 27
A multi-step wind power group forecasting seq2seq architecture with spatial–temporal feature fusion and numerical weather prediction correction
Shiwei Xu, Yongjun Wang, Xinglei Xu, et al.
Energy (2024) Vol. 291, pp. 130352-130352
Closed Access | Times Cited: 14
An innovative two-stage machine learning-based adaptive robust unit commitment strategy for addressing uncertainty in renewable energy systems
Mostafa Esmaeili Shayan, Mario Petrollese, Seyed Hossein Rouhani, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110087-110087
Open Access | Times Cited: 12
NPP Accident Prevention: Integrated Neural Network for Coupled Multivariate Time Series Prediction based on PSO and its application under uncertainty analysis for NPP data
Xiao Xiao, Xuan Zhang, Meiqi Song, et al.
Energy (2024) Vol. 305, pp. 132374-132374
Closed Access | Times Cited: 8
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
Wind Power Forecasting Enhancement Utilizing Adaptive Quantile Function and CNN-LSTM: A Probabilistic Approach
Oveis Abedinia, Ali Ghasemi-Marzbali, Mohammad Shafiei, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 3, pp. 4446-4457
Closed Access | Times Cited: 5
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: 5
Interpretable feature-temporal transformer for short-term wind power forecasting with multivariate time series
Lei Liu, Xinyu Wang, Dong Xue, et al.
Applied Energy (2024) Vol. 374, pp. 124035-124035
Closed Access | Times Cited: 5
Optimization of deterministic and probabilistic forecasting for wind power based on ensemble learning
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2025), pp. 134884-134884
Closed Access
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
RUL-Mamba: Mamba-based remaining useful life prediction for lithium-ion batteries
Jiahui Huang, Lei Liu, Hongwei Zhao, et al.
Journal of Energy Storage (2025) Vol. 120, pp. 116376-116376
Closed Access
Integrating signal pairing evaluation metrics with deep learning for wind power forecasting through coupled multiple modal decomposition and aggregation
Yunbing Liu, Jie Dai, Guici Chen, et al.
Knowledge-Based Systems (2025), pp. 113394-113394
Closed Access
Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
Zachary Barbre, Gang Li
Algorithms (2025) Vol. 18, Iss. 4, pp. 206-206
Open Access
Efficient Short-Term Wind Power Prediction Using a Novel Hybrid Machine Learning Model: LOFVT-OVMD-INGO-LSSVR
Ziyu Wei, Duo Zhao
Energies (2025) Vol. 18, Iss. 7, pp. 1849-1849
Open Access
Hybrid model with temporal convolutional network and transformer encoder for privacy-preserving wind power forecasting
Zhen Zhang, Fu‐Zhen Xuan, X. D. Ruan, et al.
Advances in Manufacturing (2025)
Closed Access
1D Convolutional LSTM-based wind power prediction integrated with PkNN data imputation technique
Farah Shahid, Atif Mehmood, Rizwan Khan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101816-101816
Open Access | Times Cited: 10
Wind Power Forecasting Based on a Spatial–Temporal Graph Convolution Network With Limited Engineering Knowledge
Luo Yang, Fugee Tsung, Kaibo Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 3
Ultra-Short-Term Prediction of Wind Farm Cluster Power Based on Embedded Graph Structure Learning With Spatiotemporal Information Gain
Mao Yang, Yunfeng Guo, Fulin Fan
IEEE Transactions on Sustainable Energy (2024) Vol. 16, Iss. 1, pp. 308-322
Closed Access | Times Cited: 3
Short-Term Wind Power Prediction Based on CEEMDAN-SE and Bidirectional LSTM Neural Network with Markov Chain
Yi Liu, Jun He, Yu Wang, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5476-5476
Open Access | Times Cited: 7
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