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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:

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 7
Short-term subway passenger flow forecasting approach based on multi-source data fusion
Yifan Cheng, Hongtao Li, Shaolong Sun, et al.
Information Sciences (2024) Vol. 679, pp. 121109-121109
Closed Access | Times Cited: 4
Medium-term wind speed ensemble forecasting using ICEEMDAN and dual attention mechanism
Jinhua Liu, Zhiyuan Leng, Lu Chen, et al.
(2025), pp. 13-13
Closed Access
A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features
Yuan Wang, Yue Bi, Guo Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1636-1636
Open Access
A Novel Hybrid Deep Learning Model for Day-Ahead Wind Power Interval Forecasting
Jianjing Mao, Jian Zhao, H. Zhang, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3239-3239
Open Access
The hybrid velocity prediction model for pipeline detection based on bidirectional long short-term memory and an improved attention mechanism
Junjie Ma, Yiming Li, Zhongchao Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110855-110855
Closed Access
Physics-informed reinforcement learning for probabilistic wind power forecasting under extreme events
Yanli Liu, Junyi Wang, L. Liu
Applied Energy (2024) Vol. 376, pp. 124068-124068
Closed Access | Times Cited: 3
Wind power forecasting using optimized LSTM by attraction–repulsion optimization algorithm
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Ahmad O. Aseeri, et al.
Ain Shams Engineering Journal (2024), pp. 103150-103150
Open Access | Times Cited: 3
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 3
Fully connected multi-reservoir echo state networks for wind power prediction
Xianshuang Yao, Kangshuai Guo, Jianlin Lei, et al.
Energy (2024), pp. 133579-133579
Closed Access | Times Cited: 2
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
Combined Prediction of Wind Power in Extreme Weather Based on Time Series Adversarial Generation Networks
Wenjie Ye, Dongmei Yang, Chenghong Tang, et al.
IEEE Access (2024) Vol. 12, pp. 102660-102669
Open Access | Times Cited: 2
Development of forecasting of monthly SAR time series in river systems: A multivariate data decomposition-based hybrid approach
Xiangning Zhou, Yuchi Leng, Meysam Salarijazi, et al.
Process Safety and Environmental Protection (2024) Vol. 188, pp. 1355-1375
Closed Access | Times Cited: 1
A Novel Wind Power Prediction Model That Considers Multi-Scale Variable Relationships and Temporal Dependencies
Zhanyang Xu, Hong Zhao, Chengxi Xu, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3710-3710
Open Access | Times Cited: 1
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Yang Yang, Zijin Wang, Shangrui Zhao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109453-109453
Open Access | Times Cited: 1
Developing an interpretable wind power forecasting system using a transformer network and transfer learning
Chaonan Tian, Tong Niu, Tao Li
Energy Conversion and Management (2024) Vol. 323, pp. 119155-119155
Closed Access | Times Cited: 1
MIVNDN: Ultra-Short-Term Wind Power Prediction Method with MSDBO-ICEEMDAN-VMD-Nons-DCTransformer Net
Q. Zhuang, Lu Gao, Fei Zhang, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4829-4829
Open Access | Times Cited: 1
Improving short-term active power prediction through optimization of the categorical boosting model with meta-heuristic algorithms
Wei Yan, Jie Zhang
Electrical Engineering (2024)
Closed Access | Times Cited: 1
Short-Term Wind Power Prediction Combining a Data Cleaning Method Using a Fusion Model and a Novel Multi-Task Learning Framework
Wentao Ma, Jiahui Dai, Lihong Qiu, et al.
(2024)
Closed Access
A Comprehensive Framework of the Decomposition-Based Hybrid Method for Ultra-Short-Term Wind Power Forecasting with On-Site Applicationon
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
(2024)
Closed Access
An Adaptive Wind Speed Synergy Power Prediction Framework Considering Offshore Wind Power Boundary Effect
Liexi Xiao, Anbo Meng, Pengli Zou, et al.
(2024)
Closed Access
A Comprehensive Framework of the Decomposition-Based Hybrid Method for Ultra-Short-Term Wind Power Forecasting with On-Site Application
Shixi Yang, Jiaxuan Zhou, Xiwen Gu, et al.
(2024)
Closed Access
Short-Term Wind Power Prediction Combining a Data Cleaning Method Using a Fusion Model and a Novel Multi-Task Learning Framwork
Wentao Ma, Jiahui Dai, Lihong Qiu, et al.
(2024)
Closed Access
Temporalformer: A Temporal Decomposition Causal Transformer Network For Wind Power Forecasting
Yansong Wang, Lili Pei, Yingying Wang, et al.
Lecture notes in computer science (2024), pp. 3-17
Closed Access
Optimization of Power Dispatch in Island Microgrid Based on Linearization of Generation Cost Function
Thai An Nguyen, Trong Nghia Le, Huy Anh Quyen, et al.
(2024), pp. 294-298
Closed Access
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