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:

Power system monitoring for electrical disturbances in wide network using machine learning
Jihong Wei, Abdeljelil Chammam, Jianqin Feng, et al.
Sustainable Computing Informatics and Systems (2024) Vol. 42, pp. 100959-100959
Closed Access | Times Cited: 13

Showing 13 citing articles:

A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions
Ibrahim Alhamrouni, Nor Hidayah Abdul Kahar, Mohaned Salem, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6214-6214
Open Access | Times Cited: 19

Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
Ravi Kumar, Rahul Priyadarshi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6

Signal Processing Approaches for Power Quality Disturbance Classification: A Comprehensive Review
Madgula Satyanrayana, Venkataramana Veeramsetty, Durgam Rajababu
Results in Engineering (2025), pp. 104569-104569
Open Access

An Unscented Transformation based approach for probabilistic design of Wide-Area Damping Controllers
Wesley Peres
Sustainable Computing Informatics and Systems (2025), pp. 101116-101116
Closed Access

Generative Artificial Intelligence for Distributed Learning to Enhance Smart Grid Communication
Seyed Mahmoud Sajjadi Mohammadabadi, Mahmoudreza Entezami, Aidin Karimi Moghaddam, et al.
International Journal of Intelligent Networks (2024) Vol. 5, pp. 267-274
Open Access | Times Cited: 4

Local Distributed Node for Power Quality Event Detection Based on Multi-Sine Fitting Algorithm
Domenico Luca CarnĂ­, Francesco Lamonaca
Sensors (2024) Vol. 24, Iss. 8, pp. 2474-2474
Open Access | Times Cited: 3

Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models
Ali Hussain Alhamami, Emmanuel Falude, Ahmed Osman Ibrahim, et al.
Water Science & Technology (2024) Vol. 89, Iss. 8, pp. 2149-2163
Open Access | Times Cited: 2

Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method
Jingyi Zhang, Tongtian Sheng, Pan Gu, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2104-2104
Open Access | Times Cited: 2

Prediction of electricity consumption using an innovative deep energy predictor model for enhanced accuracy and efficiency
C. Ragupathi, S. Dhanasekaran, N. Vijayalakshmi, et al.
Energy Reports (2024) Vol. 12, pp. 5320-5337
Closed Access | Times Cited: 2

An innovative method for building electricity energy management in smart homes based on electric vehicle energy capacity
Yakubu Aminu Dodo, Ahmed Osman Ibrahim, Mohammed Awad Abuhussain, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1

Ensemble machine learning for managing the required thermal energy from the architectural characteristics of residential buildings
HuiHui Gan, Wei Gao
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 1222-1230
Open Access | Times Cited: 1

A novel hybrid optimization and machine learning technique to energy storage in smart buildings using phase change materials
Regent Tatiana Mikhailovna, Mohammadali Nasrabadi, Sherzod Abdullaev, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 1477-1490
Open Access | Times Cited: 1

Machine Learning Approach for the Investigation of Metal Ion Concentration on Distillate Marine Diesel Fuels through Feed Forward Neural Networks
Ambrosios-Antonios Savvides, Leonidas Papadopoulos, George Intzirtzis, et al.
Lubricants (2024) Vol. 12, Iss. 4, pp. 127-127
Open Access

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