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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:

Performance Improvement of Very Short-term Prediction Intervals for Regional Wind Power Based on Composite Conditional Nonlinear Quantile Regression
Yan Zhou, Yonghui Sun, Sen Wang, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 1, pp. 60-70
Open Access | Times Cited: 17

Showing 17 citing articles:

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique
Wenlong Liao, Shouxiang Wang, Birgitte Bak‐Jensen, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1100-1114
Open Access | Times Cited: 34
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 26
Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation
Seyed Matin Malakouti
Intelligent Systems with Applications (2023) Vol. 19, pp. 200248-200248
Open Access | Times Cited: 24
Time-varying interval prediction and decision-making for short-term wind power using convolutional gated recurrent unit and multi-objective elephant clan optimization
Qiannan Zhu, Feng Jiang, Chaoshun Li
Energy (2023) Vol. 271, pp. 127006-127006
Closed Access | Times Cited: 17
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: 7
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 14
Non-crossing quantile probabilistic forecasting of cluster wind power considering spatio-temporal correlation
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124356-124356
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
Nonparametric Probabilistic Prediction of Ultra-Short-Term Wind Power Based on MultiFusion–ChronoNet–AMC
Yan Yan, Yi Qian, Yan Zhou
Energies (2025) Vol. 18, Iss. 7, pp. 1646-1646
Open Access
Nonparametric Probabilistic Prediction of Regional PV Outputs Based on Granule-based Clustering and Direct Optimization Programming
Yonghui Sun, Yan Zhou, Sen Wang, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 4, pp. 1450-1461
Open Access | Times Cited: 9
Research on a Deep Ensemble Learning Model for the Ultra-Short-Term Probabilistic Prediction of Wind Power
Yan Zhou, Fuzhen Wei, Kaiyang Kuang, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 475-475
Open Access | Times Cited: 3
Optimal Decreased Torque Gain Control for Maximizing Wind Energy Extraction Under Varying Wind Speed
Liansong Guo, Minghui Yin, Chenxiao Cai, et al.
Journal of Modern Power Systems and Clean Energy (2023) Vol. 11, Iss. 3, pp. 853-862
Open Access | Times Cited: 7
Medium and Long Term Wind Power Generation Forecasting Method Based on Multi-model Fusion
Guangwei Xiang, Lü Tian, Liping Liu
Journal of Physics Conference Series (2024) Vol. 2774, Iss. 1, pp. 012004-012004
Open Access | Times Cited: 1
Robust stochastic low-carbon optimal dispatch of park-integrated energy system with multiple uncertainties from source and load
Xuanjun Zong, Sheng Zou, Hongwei Zhou, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
Short-term wind power forecasting method based on spatial-temporal graph neural network
Dezhi Luo, Zhengdeng Ye, Zhekai Tu, et al.
Journal of Physics Conference Series (2024) Vol. 2797, Iss. 1, pp. 012055-012055
Open Access
From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit Solution
Shuqi Shi, Zongze Liu, Xiaofei Deng, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9379-9379
Open Access | Times Cited: 1
A Method of Probability Distribution Modeling of Multi-Dimensional Conditions for Wind Power Forecast Error Based on MNSGA-II-Kmeans
Jian Yang, Yu Liu, Shangguang Jiang, et al.
Energies (2022) Vol. 15, Iss. 7, pp. 2462-2462
Open Access | Times Cited: 1
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