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:

Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network
Sepideh Radhoush, Trevor Vannoy, Kaveen Liyanage, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2288-2288
Open Access | Times Cited: 17

Showing 17 citing articles:

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters
Murilo E. C. Bento
Energies (2024) Vol. 17, Iss. 7, pp. 1562-1562
Open Access | Times Cited: 7

An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids
Mehdi Jabbari Zideh, Mohammad Reza Khalghani, Sarika Khushalani Solanki
Electric Power Systems Research (2024) Vol. 232, pp. 110407-110407
Open Access | Times Cited: 5

Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition
Faheed A. F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering Approach
Tarek Berghout, Mohamed Benbouzid, Yassine Amirat
Electronics (2023) Vol. 12, Iss. 12, pp. 2554-2554
Open Access | Times Cited: 11

An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks
Sepideh Radhoush, Bradley M. Whitaker, M.H. Nehrir
Energies (2023) Vol. 16, Iss. 16, pp. 5972-5972
Open Access | Times Cited: 5

Reinforcing smart grid integrity: an enhanced cybersecurity framework for plug-in hybrid electric vehicles
Rishi Kumar, R. Sankar Ganesh
Electrical Engineering (2024) Vol. 106, Iss. 6, pp. 7951-7965
Closed Access | Times Cited: 1

Detecting False Data Injection Attacks in Industrial Internet of Things Using an Optimized Bidirectional Gated Recurrent Unit-Swarm Optimization Algorithm Model
Nadella Sree Divya, Ramesh Vatambeti
Acadlore Transactions on AI and Machine Learning (2023) Vol. 2, Iss. 2, pp. 75-83
Open Access | Times Cited: 2

Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
Marius Minea, Viviana Laetitia Minea, Augustin Semenescu
Sensors (2023) Vol. 23, Iss. 13, pp. 6012-6012
Open Access | Times Cited: 2

A Novel False Measurement Data Detection Mechanism for Smart Grids
Muhammad Awais Shahid, Fiaz Ahmad, Rehan Nawaz, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6614-6614
Open Access | Times Cited: 2

Detection of False Data Injection Attacks in a Smart Grid Based on WLS and an Adaptive Interpolation Extended Kalman Filter
Guoqing Zhang, Wengen Gao, Yunfei Li, et al.
Energies (2023) Vol. 16, Iss. 20, pp. 7203-7203
Open Access | Times Cited: 2

Securing transportation web applications: An AI-driven approach to detect and mitigate SQL injection attacks
Nachaat Mohamed
Journal of Transportation Security (2024) Vol. 17, Iss. 1
Closed Access

Multi-Edge Graph Convolutional Networks for Power Systems
Abhijith Ravi, Linquan Bai, Fei Ding, et al.
(2024), pp. 1-6
Open Access

A parallel approach for ultra-fast state estimation in large power system using graph partitioning theory
Behnam Karim Sarmadi, Ahmad Salehi Dobakhshari
ACTA IMEKO (2024) Vol. 13, Iss. 1, pp. 1-9
Open Access

Cybersecurity in Smart Renewable Energy Systems
Jean-Paul A. Yaacoub, Hassan Noura, Joseph Azar, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1534-1540
Closed Access

Detection of False Data Injection Attacks in Smart Microgrid using Deep Learning to Improve Classification Algorithms
Hossein Shahinzadeh, Gevork B. Gharehpetian, Wahiba Yaïci, et al.
(2023), pp. 196-201
Closed Access

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