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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:

Short-Term Canyon Wind Speed Prediction Based on CNN—GRU Transfer Learning
Lipeng Ji, Chenqi Fu, Zheng Ju, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 813-813
Open Access | Times Cited: 25

Showing 25 citing articles:

A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Zhuoyue Guo, Canyun Yang, Dongsheng Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 604-613
Closed Access | Times Cited: 76
An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Information Sciences (2024) Vol. 661, pp. 120150-120150
Closed Access | Times Cited: 10
Enhancing temperature prediction in the UAE: a process-driven framework for adaptive learning with GRU-CNN hybrid models
SeyedHadi Haghrahmani
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Wind Power Forecasting with Machine Learning Algorithms in Low-Cost Devices
Pablo Andrés Buestán Andrade, Mario Peñacoba, Jesús Enrique Sierra-García, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1541-1541
Open Access | Times Cited: 6
Transfer Learning for Renewable Energy Systems: A Survey
Rami Al-Hajj, Ali Assi, Bilel Neji, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9131-9131
Open Access | Times Cited: 13
Short Term Power Load Forecasting Based on PSVMD-CGA Model
Jingming Su, Xuguang Han, Yan Hong
Sustainability (2023) Vol. 15, Iss. 4, pp. 2941-2941
Open Access | Times Cited: 12
A dynamic multi-model transfer based short-term load forecasting
Ling Xiao, Qinyi Bai, Binglin Wang
Applied Soft Computing (2024) Vol. 159, pp. 111627-111627
Closed Access | Times Cited: 4
A multi-scale component feature learning framework based on CNN-BiGRU and online sequential regularized extreme learning machine for wind speed prediction
Xuedong Zhang, Huanyu Zhao, Junhao Yao, et al.
Renewable Energy (2025), pp. 122427-122427
Closed Access
Cross-Dataset Data Augmentation Using UMAP for Deep Learning-Based Wind Speed Prediction
Eder Arley Leon-Gomez, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Computers (2025) Vol. 14, Iss. 4, pp. 123-123
Open Access
Short-Term Wind Speed Forecasting Based on the EEMD-GS-GRU Model
Huaming Yao, Yongjie Tan, Jiachen Hou, et al.
Atmosphere (2023) Vol. 14, Iss. 4, pp. 697-697
Open Access | Times Cited: 9
A novel time-frequency recurrent network and its advanced version for short-term wind speed predictions
Chuanjin Yu, Yongle Li, Liyang Zhao, et al.
Energy (2022) Vol. 262, pp. 125556-125556
Closed Access | Times Cited: 16
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2023)
Open Access | Times Cited: 7
Short-Term Regional Temperature Prediction Based on Deep Spatial and Temporal Networks
Shun Wu, Fengchen Fu, Lei Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 12, pp. 1948-1948
Open Access | Times Cited: 12
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1635-1635
Open Access | Times Cited: 6
Combined wind speed forecasting model based on secondary decomposition and quantile regression closed-form continuous-time neural network
Wenzhi Qiu, Wenyu Zhang, Gang Wang, et al.
International Journal of Green Energy (2023) Vol. 21, Iss. 8, pp. 1793-1814
Closed Access | Times Cited: 5
Enhancing rock and soil hazard monitoring in open-pit mining operations through ultra-short-term wind speed prediction
Pengxiang Sun, Juan Wang, Zhenguo Yan
Frontiers in Earth Science (2024) Vol. 11
Open Access | Times Cited: 1
Improvement in the Forecasting of Low Visibility over Guizhou, China, Based on a Multi-Variable Deep Learning Model
Dongpo He, Yuetong Wang, Yuanzhi Tang, et al.
Atmosphere (2024) Vol. 15, Iss. 7, pp. 752-752
Open Access | Times Cited: 1
Comparison of RNN, LSTM, and GRU Methods on Forecasting Website Visitors
I Nyoman Gede Arya Astawa, I Putu Bagus Arya Pradnyana, I Ketut Suwintana
Journal of Computer Science and Technology Studies (2022) Vol. 4, Iss. 2, pp. 11-18
Open Access | Times Cited: 5
Feature Transfer and Rapid Adaptation for Few-Shot Solar Power Forecasting
Xin Ren, Yimei Wang, Zhi Cao, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6211-6211
Open Access | Times Cited: 2
Towards an Efficient DDoS Attack Detection in SDN: An Approach with CNN-GRU Fusion
Konda Srikar Goud, Giduturi Srinivasa Rao
(2024), pp. 1-10
Closed Access
A Multi-Scale Component Feature Learning Framework Based on Cnn-Bigru and Online Sequential Regularized Extreme Learning Machine for Wind Speed Prediction
Xuedong Zhang, Huanyu Zhao, Zheng Wang, et al.
(2024)
Closed Access
A Comprehensive Hybrid Deep Learning Approach for Accurate Status Predicting of Hydropower Units
Liyong Ma, Siqi Chen, D. H. Wei, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9323-9323
Open Access
Facilitating Interaction between PDE Dynamics and Unknown Dynamics for Regional Wind Speed Prediction
Shidong Chen, Baoquan Zhang, Xutao Li, et al.
(2023)
Closed Access
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