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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 novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture
Hao Yin, Zuhong Ou, Jiajin Fu, et al.
Energy (2021) Vol. 234, pp. 121271-121271
Closed Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

Wind power forecast based on variational mode decomposition and long short term memory attention network
Xiao Zhou, Chengxi Liu, Yongjian Luo, et al.
Energy Reports (2022) Vol. 8, pp. 922-931
Open Access | Times Cited: 19
Forecasting of short term electric power consumption for different types buildings using improved transfer learning: A case study of primary school in China
Meng Zhou, Junqi Yu, Fukang Sun, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107618-107618
Closed Access | Times Cited: 12
Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms
Jiaxiang Hu, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 355, pp. 122185-122185
Closed Access | Times Cited: 11
The Short-Term Prediction of Wind Power Based on the Convolutional Graph Attention Deep Neural Network
Fan Xiao, Xiong Ping, Y. Li, et al.
Energy Engineering (2024) Vol. 121, Iss. 2, pp. 359-376
Open Access | Times Cited: 4
CPTCFS: CausalPatchTST incorporated causal feature selection model for short-term wind power forecasting of newly built wind farms
Hang Zhao, Peidong Xu, Tianlu Gao, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110059-110059
Open Access | Times Cited: 4
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 Three-stage Adjustable Robust Optimization Framework for Energy Base Leveraging Transfer Learning
Yuan Gao, Yucan Zhao, Sile Hu, et al.
Energy (2025), pp. 135037-135037
Closed Access
Knowledge Distillation with Error-Correcting Transfer Learning for Wind Power Prediction
Hao Chen
(2025)
Closed Access
Developing a robust wind power forecasting method: Integrating data repair, feature screening, and economic impact analysis for practical applications
Xuefeng Liang, Zetian Hu, Jun Zhang, et al.
Renewable Energy (2025), pp. 122775-122775
Closed Access
Data-driven wind farm flow control and challenges towards field implementation: A review
Tuhfe Göçmen, Jaime Liew, Elie Kadoche, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 216, pp. 115605-115605
Open Access
Ultra-Short-Term Load Forecasting for Extreme Scenarios Based on DBSCAN-RSBO-BiGRU-KNN-Attention with Fine-Tuning Strategy
Leibao Wang, Jifeng Liang, Jiawen Li, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 1161-1161
Open Access
Intelligent Classification of Tungsten Inert Gas Welding Defects: A Transfer Learning Approach
Ravi Sekhar, Deepak Sharma, Pritesh Shah
Frontiers in Mechanical Engineering (2022) Vol. 8
Open Access | Times Cited: 18
Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning
Zhenyi Wang, Peipei Yu, Hongcai Zhang
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 5, pp. 3535-3549
Closed Access | Times Cited: 17
An advanced multi-objective collaborative scheduling strategy for large scale EV charging and discharging connected to the predictable wind power grid
Chao Zhang, Wanjun Yin, Tao Wen
Energy (2023) Vol. 287, pp. 129495-129495
Closed Access | Times Cited: 9
Ultra-short-term wind power forecasting based on feature weight analysis and cluster dynamic division
Chen Chang, Yuyu Meng, Jiuyuan Huo, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 2
Closed Access | Times Cited: 3
A new short-term wind power prediction methodology based on linear and nonlinear hybrid models
Xixuan Zhao, Bingzhen Sun, Ning Wu, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110477-110477
Closed Access | Times Cited: 3
TPANet: A Novel Triple Parallel Attention Network Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
Lei Li, Y. G. Li, Runze Mao, et al.
Energy (2024) Vol. 309, pp. 132890-132890
Closed Access | Times Cited: 3
Comparison of the goodness-of-fit of intelligent-optimized wind speed distributions and calculation in high-altitude wind-energy potential assessment
Qiwei Li, Jianzhou Wang, Haipeng Zhang
Energy Conversion and Management (2021) Vol. 247, pp. 114737-114737
Closed Access | Times Cited: 23
Transferable wind power probabilistic forecasting based on multi-domain adversarial networks
Xiaochong Dong, Yingyun Sun, Lei Dong, et al.
Energy (2023) Vol. 285, pp. 129496-129496
Closed Access | Times Cited: 8
A combined model based on secondary decomposition technique and grey wolf optimizer for short-term wind power forecasting
Zhongde Su, Bowen Zheng, Huacai Lu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 7
Small-Sample Solar Power Interval Prediction Based on Instance-Based Transfer Learning
Huan Long, Runhao Geng, Wanxing Sheng, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5283-5292
Closed Access | Times Cited: 7
Short‐Term Offshore Wind Power Prediction Based on Significant Weather Process Classification and Multitask Learning Considering Neighboring Powers
Zimin Yang, Xiaosheng Peng, Xiaobin Zhang, et al.
Wind Energy (2024) Vol. 27, Iss. 10, pp. 1011-1023
Open Access | Times Cited: 2
Prediction of wind power ramp events via a self-attention based deep learning approach
Jie Li, Fanxi Meng, Zichen Zhang, et al.
Energy Reports (2024) Vol. 12, pp. 1488-1502
Open Access | Times Cited: 2
Classification techniques for renewable energy: identifying renewable energy sources and features
Saif Ali Akhtar, Dikeshwar Kurre, Sandeep Samantaray
Elsevier eBooks (2024), pp. 241-279
Closed Access | Times Cited: 2
Dual-meta pool method for wind farm power forecasting with small sample data
Ling Liu, Jujie Wang, Jianping Li, et al.
Energy (2022) Vol. 267, pp. 126504-126504
Closed Access | Times Cited: 8

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