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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:

Interval deep learning architecture with rough pattern recognition and fuzzy inference for short-term wind speed forecasting
Mahdi Khodayar, Mohsen Saffari, Michael Williams, et al.
Energy (2022) Vol. 254, pp. 124143-124143
Closed Access | Times Cited: 16

Showing 16 citing articles:

Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 11
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
Wenjie Xu, Jujie Wang, Yue Zhang, et al.
Annals of Operations Research (2022)
Open Access | Times Cited: 26
Energy fluctuation pattern recognition coupled with decomposition-integration: A novel ocean tidal energy forecasting system
Qingsong Wu, Hong Yang, Guohui Li
Measurement (2024) Vol. 238, pp. 115374-115374
Closed Access | Times Cited: 5
A gradient-based learning method with smoothing group $$L_0$$ regularization for interval perceptron and interval weights
Yan Liu, J. Jean Cui, Rui Wang, et al.
Computational and Applied Mathematics (2025) Vol. 44, Iss. 5
Closed Access
Modified artificial neural network based on developed snake optimization algorithm for short-term price prediction
Baozhu Li, Majid Khayatnezhad
Heliyon (2024) Vol. 10, Iss. 5, pp. e26335-e26335
Open Access | Times Cited: 4
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 4
Research on interpretable graph neural network agent model for siltation diagnosis in Urban-Scale sewer systems
Junhao Wu, Ling Ma, Xi Chen, et al.
Tunnelling and Underground Space Technology (2025) Vol. 162, pp. 106666-106666
Closed Access
Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm
Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bahareh Nakisa, et al.
Sustainable Energy Grids and Networks (2022) Vol. 32, pp. 100903-100903
Closed Access | Times Cited: 18
Pheromone-guided parallel rough hypercuboid attribute reduction algorithm
Weiping Ding, Hongcheng Yao, Hengrong Ju, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111479-111479
Closed Access | Times Cited: 3
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
Deep Neural Networks in Power Systems: A Review
Mahdi Khodayar, Jacob Regan
Energies (2023) Vol. 16, Iss. 12, pp. 4773-4773
Open Access | Times Cited: 4
A novel approach to multi-attribute predictive analysis based on rough fuzzy sets
Yun Kang, Bin Yu, Zeshui Xu
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17644-17661
Closed Access | Times Cited: 2
Rüzgâr Hızı Tahminine Yönelik Hibrit ConvLSTM Modeli: Hindistan'ın En Yüksek Rüzgâr Hızına Sahip Şehirleri İçin Bir Vaka Çalışması
Anıl Utku, Sinem Akyol
Muş Alparslan Üniversitesi Fen Bilimleri Dergisi (2024), pp. 184-197
Open Access
Incorporate Rotational Speeds Into Deep Neural Network for Machinery Health Monitoring
W. M. Liu, Chaoang Xiao, Jianbo Yu
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 13330-13340
Closed Access
Forecasting wind speed using a reinforcement learning hybrid ensemble model: a high-speed railways strong wind signal prediction study in Xinjiang, China
Bin Liu, Xin-Min Pan, Ruizhen Yang, et al.
Transportation Safety and Environment (2022) Vol. 5, Iss. 4
Open Access | Times Cited: 2
A Novel Hybrid Wind Speed Interval Prediction Model Using Rough Stacked Autoencoder and LSTM
Qiuyu Mei, Hong Yu, Guoyin Wang
Lecture notes in computer science (2023), pp. 537-548
Closed Access
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