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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:

An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems
Khaled Dhibi, Majdi Mansouri, Kais Bouzrara, et al.
IEEE Access (2021) Vol. 9, pp. 155622-155633
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A novel dynamic/adaptive K-nearest neighbor model for the prediction of solar photovoltaic systems’ performance
Sameer Al‐Dahidi, Bashar Hammad, Mohammad Alrbai, et al.
Results in Engineering (2024) Vol. 22, pp. 102141-102141
Open Access | Times Cited: 18
Fault detection and diagnosis in grid-connected PV systems under irradiance variations
Mansour Hajji, Zahra Yahyaoui, Majdi Mansouri, et al.
Energy Reports (2023) Vol. 9, pp. 4005-4017
Open Access | Times Cited: 31
Machine Learning: A Comprehensive Exploration of Fault Detection and Diagnosis in Smart Grids
Peter Onu, Charles Mbohwa, Anup Pradhan
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2023), pp. 1-6
Closed Access | Times Cited: 21
Fault classification and localization in microgrids: Leveraging discrete wavelet transform and multi-machine learning techniques considering single point measurements
Bassem Gehad Basher, Abdelhady Ghanem, Sayed Abulanwar, et al.
Electric Power Systems Research (2024) Vol. 231, pp. 110362-110362
Closed Access | Times Cited: 7
Advancements in Digital Twin Technology and Machine Learning for Energy Systems: A Comprehensive Review of Applications in Smart Grids, Renewable Energy, and Electric Vehicle Optimisation
Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, et al.
Energy Conversion and Management X (2024), pp. 100715-100715
Open Access | Times Cited: 7
Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review
Youssof Fassi, Vincent Heiries, J. Boutet, et al.
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 2, pp. 2692-2720
Closed Access | Times Cited: 17
Voting based ensemble for detecting visual faults in photovoltaic modules using AlexNet features
Naveen Venkatesh Sridharan, V. Sugumaran, Mohammadreza Aghaei
Energy Reports (2024) Vol. 11, pp. 3889-3901
Open Access | Times Cited: 5
Improved bidirectional long short-term memory network-based short-term forecasting of photovoltaic power for different seasonal types and weather factors
Ruixian Wang, Rui Ma, Linjun Zeng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110219-110219
Closed Access
Robust Intelligent Learning Algorithm Using Random Forest and Modified-Independent Component Analysis for PV Fault Detection: In Case of Imbalanced Data
Nien‐Che Yang, Harun Ismail
IEEE Access (2022) Vol. 10, pp. 41119-41130
Open Access | Times Cited: 26
Automatic detection of visual faults on photovoltaic modules using deep ensemble learning network
Naveen Venkatesh Sridharan, B. Rebecca Jeyavadhanam, Amir Mohammad Moradi Sizkouhi, et al.
Energy Reports (2022) Vol. 8, pp. 14382-14395
Open Access | Times Cited: 26
Voting-Based Ensemble Learning Algorithm for Fault Detection in Photovoltaic Systems under Different Weather Conditions
Nien‐Che Yang, Harun Ismail
Mathematics (2022) Vol. 10, Iss. 2, pp. 285-285
Open Access | Times Cited: 22
Long Short-term Memory-based Feedforward Neural Network Algorithm for Photovoltaic Fault Detection under Irradiance Conditions
Nien‐Che Yang, Mohd Faizan
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
Effective Fault Detection and Diagnosis for Power Converters in Wind Turbine Systems Using KPCA-Based BiLSTM
Zahra Yahyaoui, Mansour Hajji, Majdi Mansouri, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6127-6127
Open Access | Times Cited: 20
Stability improvement of the PSS-connected power system network with ensemble machine learning tool
Mohammad Shoaib Shahriar, Md Shafiullah, M Ilius Pathan, et al.
Energy Reports (2022) Vol. 8, pp. 11122-11138
Open Access | Times Cited: 19
A Sustainable Fault Diagnosis Approach for Photovoltaic Systems Based on Stacking-Based Ensemble Learning Methods
A. Mellit, Chadia Zayane-Aissa, Sahbi Boubaker, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 936-936
Open Access | Times Cited: 11
Enhanced fault diagnosis of wind energy conversion systems using ensemble learning based on sine cosine algorithm
Khadija Attouri, Khaled Dhibi, Majdi Mansouri, et al.
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 10
Detection of visual faults in photovoltaic modules using a stacking ensemble approach
Naveen Venkatesh Sridharan, S. Divya, V. Sugumaran, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27894-e27894
Open Access | Times Cited: 3
Island detection for grid connected photovoltaic distributed generations via integrated signal processing and machine learning approach
Younis M. Nsaif, Molla Shahadat Hossain Lipu, Aini Hussain, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 154, pp. 109468-109468
Open Access | Times Cited: 10
Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis
J. Jerome Vasanth, Naveen Venkatesh Sridharan, V. Sugumaran, et al.
International Journal of Photoenergy (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 8
A New Voltage Based Fault Detection Technique for Distribution Network Connected to Photovoltaic Sources Using Variational Mode Decomposition Integrated Ensemble Bagged Trees Approach
Younis M. Nsaif, Molla Shahadat Hossain Lipu, Aini Hussain, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7762-7762
Open Access | Times Cited: 13
A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert–Huang Transform and Ensemble Learning Technique
Younis M. Nsaif, Molla Shahadat Hossain Lipu, Aini Hussain, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11749-11749
Open Access | Times Cited: 12
Optimizing Optical Fiber Faults Detection: A Comparative Analysis of Advanced Machine Learning Approaches
Kamlesh Kumar Soothar, Yuanxiang Chen, Arif Hussain Magsi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 2697-2721
Open Access | Times Cited: 2
Intelligent fault identification strategy of photovoltaic array based on ensemble self-training learning
Mohamed M. Badr, Ayman S. Abdel‐Khalik, Mostafa S. Hamad, et al.
Solar Energy (2022) Vol. 249, pp. 122-138
Closed Access | Times Cited: 10
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
Homogeneous ensemble model built from artificial neural networks for fault detection in navigation systems
Aleksandra Świetlicka, Krzysztof Kolanowski
Journal of Computational and Applied Mathematics (2023) Vol. 432, pp. 115279-115279
Closed Access | Times Cited: 4
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