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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:

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting
Seyed Mohammad Jafar Jalali, Gerardo J. Osório, Sajad Ahmadian, et al.
IEEE Transactions on Industry Applications (2021) Vol. 58, Iss. 1, pp. 15-27
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 99
Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
M. Krithika alias AnbuDevi, K. Suganthi
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3064-3064
Open Access | Times Cited: 71
X-ray image based COVID-19 detection using evolutionary deep learning approach
Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 116942-116942
Open Access | Times Cited: 49
A spatio-temporal sequence-to-sequence network for traffic flow prediction
Shuqin Cao, Libing Wu, Jia Wu, et al.
Information Sciences (2022) Vol. 610, pp. 185-203
Closed Access | Times Cited: 41
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
Ensemble reinforcement learning: A survey
Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110975-110975
Open Access | Times Cited: 25
Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation
Yiling Fan, Zhuang Ma, Wanwei Tang, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3435-3435
Open Access | Times Cited: 8
Short-Term Wind Power Prediction Based on Multi-Parameters Similarity Wind Process Matching and Weighed-Voting-Based Deep Learning Model Selection
Zimin Yang, Xiaosheng Peng, Jiajiong Song, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 2129-2142
Closed Access | Times Cited: 20
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi
Knowledge-Based Systems (2023) Vol. 263, pp. 110289-110289
Closed Access | Times Cited: 19
Hybrid model based on similar power extraction and improved temporal convolutional network for probabilistic wind power forecasting
Yuejiang Chen, Yingjing He, Jiang‐Wen Xiao, et al.
Energy (2024) Vol. 304, pp. 131966-131966
Closed Access | Times Cited: 6
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
Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13
Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power
Guodong You, Z. Chang, Xing-Yun Li, et al.
Electric Power Systems Research (2024) Vol. 236, pp. 110904-110904
Closed Access | Times Cited: 5
Investigation on Transient Stability Enhancement of Multi-VSG System Incorporating Resistive SFCLs Based on Deep Reinforcement Learning
Lei Chen, Jingguang Tang, Xuefeng Qiao, et al.
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 1, pp. 1780-1793
Closed Access | Times Cited: 11
A Reinforcement Learning-Based Ensemble Forecasting Framework for Renewable Energy Forecasting
Zhiyuan Wu, Guohua Fang, Jian Ye, et al.
Renewable Energy (2025), pp. 122692-122692
Closed Access
Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit
Bin Li, Y. P. Lu, Xin Meng, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2654-2654
Open Access
A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access
Applying reinforcement learning for real-time optimization of process parameters in manufacturing
G. Sasikala, Rahul Ingle, V. Vasanthi, et al.
AIP conference proceedings (2025) Vol. 3270, pp. 020242-020242
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
An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems
Saeid Raziani, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, et al.
Journal of Bionic Engineering (2022) Vol. 19, Iss. 5, pp. 1504-1521
Closed Access | Times Cited: 16
Short-Term Wind Power Forecasting Based on Feature Analysis and Error Correction
Zifa Liu, Xinyi Li, Haiyan Zhao
Energies (2023) Vol. 16, Iss. 10, pp. 4249-4249
Open Access | Times Cited: 9
Reinforcement learning in wind energy - a review
Valayapathy Lakshmi Narayanan
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 1945-1968
Closed Access | Times Cited: 9
Renewable Energy MicroGrid Power Forecasting: AI Techniques with Environmental Perspective
Amanul Islam, Fazidah Othman
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures
K Mayuri, Durairaj Varalakshmi, M. Tharaheswari, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 347-359
Open Access | Times Cited: 2
A Method for Matching Information of Substation Secondary Screen Cabinet Terminal Block Based on Artificial Intelligence
Weiguo Cao, Zhong Chen, Congying Wu, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1904-1904
Open Access | Times Cited: 2
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