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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:

Fault Detection and Classification in Transmission Lines Connected to Inverter-Based Generators Using Machine Learning
Khalfan Al Kharusi, Abdelsalam El Haffar, Mostefa Mesbah
Energies (2022) Vol. 15, Iss. 15, pp. 5475-5475
Open Access | Times Cited: 18

Showing 18 citing articles:

Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data
Abdallah El Ghaly
Eng—Advances in Engineering (2025) Vol. 6, Iss. 1, pp. 4-4
Open Access | Times Cited: 1
Problems and Solutions Concerning the Distance Protection of Transmission Lines Connected to Inverter-Based Resources
Juan David Hernández-Santafé, Elmer Sorrentino
Energies (2025) Vol. 18, Iss. 6, pp. 1375-1375
Open Access
Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects
Yu Fujimoto, Akihisa Kaneko, Yutaka Iino, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1330-1330
Open Access | Times Cited: 12
An Efficient Technique to Improve Fault Categorization in Transmission Lines
Shradha Umathe, Prema Daigavane, M. B. Daigavane
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 21425-21430
Open Access
Energy efficient fault detection and classification using hyperparameter-tuned machine learning classifiers with sensors
Debshree Bhattacharya, Manoj Kumar Nigam
Measurement Sensors (2023) Vol. 30, pp. 100908-100908
Open Access | Times Cited: 10
A hybrid intelligent system for protection of transmission lines connected to PV farms based on linear trends
Pallav Kumar Bera, Samita Rani Pani, Can Işık, et al.
Electric Power Systems Research (2024) Vol. 237, pp. 110991-110991
Open Access | Times Cited: 3
Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines
Moisés J. B. B. Davi, Mário Oleskovicz, Felipe V. Lopes
Electric Power Systems Research (2023) Vol. 223, pp. 109532-109532
Closed Access | Times Cited: 8
Maturity Analysis of Protection Solutions for Power Systems Near Inverter-Based Resources
Felipe V. Lopes, Moisés J. B. B. Davi, Mário Oleskovicz, et al.
IEEE Transactions on Power Delivery (2024) Vol. 39, Iss. 5, pp. 2630-2643
Closed Access | Times Cited: 2
Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, et al.
Machines (2023) Vol. 11, Iss. 10, pp. 963-963
Open Access | Times Cited: 6
Adaptive Machine-Learning-Based Transmission Line Fault Detection and Classification Connected to Inverter-Based Generators
Khalfan Al Kharusi, Abdelsalam El Haffar, Mostefa Mesbah
Energies (2023) Vol. 16, Iss. 15, pp. 5775-5775
Open Access | Times Cited: 6
FPGA-based fault analysis for 7-level switched ladder multi-level inverter using decision tree algorithm
Nithya Ramalingam, Anitha Thiagarajan
International Journal of Reconfigurable and Embedded Systems (IJRES) (2023) Vol. 12, Iss. 2, pp. 157-157
Open Access | Times Cited: 4
Smart Fault Detection Algorithm for Transmission Networks
Fady Wadie
Deleted Journal (2024)
Open Access | Times Cited: 1
An Integrated Fault Detection, Classification, and Region Identification Methodology Applied to Onshore Wind Farm Collector Systems
Moisés J. B. B. Davi, Mário Oleskovicz, Felipe V. Lopes
IEEE Access (2024) Vol. 12, pp. 179516-179528
Open Access | Times Cited: 1
Transmission Line Fault Classification Based on the Combination of Scaled Wavelet Scalograms and CNNs Using a One-Side Sensor for Data Collection
Ahmed Sabri Altaie, Mohamed Abderrahim, Afaneen Anwer Alkhazraji
Sensors (2024) Vol. 24, Iss. 7, pp. 2124-2124
Open Access
A novel Counter based Neural Network for Switching Fault Identification in Power Inverter
Joseph Anthony Prathap, Shruthi Modem, K. Rafeeq Ahmed
(2024), pp. 37-41
Closed Access
Fault Detection and Classification in Power Transmission Lines Using Discrete Wavelet Transform-Based Swish Recurrent Neural Network
N. Narasimhulu, MD. Mujahid Irfan, S. Meenakshi Sundaram, et al.
(2024), pp. 1-4
Closed Access
Faults Identification in Digital Counter Using Naïve-Bayes’ Algorithm
Hamsa Girish Shruthi Modem
Tuijin Jishu/Journal of Propulsion Technology (2023) Vol. 44, Iss. 4, pp. 1145-1151
Open Access
Classificação de Faltas em Linhas de Interconexão de Gerações Baseadas em Inversores: Desvendando o Potencial dos Métodos de Machine Learning
Moisés J. B. B. Davi, Mário Oleskovicz, Felipe V. Lopes
(2023), pp. 1-8
Closed Access
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