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:

Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning
Farah Shahid, Wood David A., Nisar Humaira, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112700-112700
Closed Access | Times Cited: 80

Showing 76-100 of 80 citing articles:

Day-ahead Wind Power Prediction Based on Corrected Transformer Network
Yuchao Han, Xiangqian Tong
(2023), pp. 404-408
Closed Access | Times Cited: 1

Anomaly Detection in Machining Centers Based on Graph Diffusion-Hierarchical Neighbor Aggregation Networks
Jiewen Huang, Ying Yang
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12914-12914
Open Access | Times Cited: 1

The Forecasting of a Leading Country’s Government Expenditure Using a Recurrent Neural Network with a Gated Recurrent Unit
Cheng‐Hong Yang, Tshimologo Molefyane, Yu‐Da Lin
Mathematics (2023) Vol. 11, Iss. 14, pp. 3085-3085
Open Access

Wind Speed Prediction Model Based on Deep Learning
Lina Feng, Yang Wang, Yan Yang, et al.
E3S Web of Conferences (2023) Vol. 466, pp. 01011-01011
Open Access

Wind Power Forecast Based on Multi-Source Data and RNN: A Case Study of Jiangsu
Liang Xie, Jing Yang, Wenjun Zhou, et al.
2020 7th International Forum on Electrical Engineering and Automation (IFEEA) (2023), pp. 461-464
Closed Access

Day-Ahead Wind Power Forecasting Based on DCW-GRU
Yunting Zeng, Xiaojie Wu, Xiaoqiang Li, et al.
(2023), pp. 893-898
Closed Access

An Improved Wind Power Forecasting Framework Based on Seasonal Feature Selection and Temporal Convolutional Network
Lian Liu, Xuezhen Qin, Liang Tang, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 4654-4660
Closed Access

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