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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 diagnosis for induction generator-based wind turbine using ensemble deep learning techniques
Omneya Attallah, Rania A. Ibrahim, Nahla E. Zakzouk
Energy Reports (2022) Vol. 8, pp. 12787-12798
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Convolutional-neural-network-based multi-signals fault diagnosis of induction motor using single and multi-channels datasets
Manar Abdelmaksoud, Marwan Torki, Mohamed El-Habrouk, et al.
Alexandria Engineering Journal (2023) Vol. 73, pp. 231-248
Open Access | Times Cited: 19
InceptionV3 based blockage fault diagnosis of centrifugal pump
Deepak Kumar, Nagendra Singh Ranawat, Pavan Kumar Kankar, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103181-103181
Closed Access
MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning
Omneya Attallah
Digital Health (2023) Vol. 9
Open Access | Times Cited: 15
A novel approach for bearing fault diagnosis in complex environments using PSO-CWT and SA-FPN
Linfeng Deng, Cheng Zhao, Xinhui Yan, et al.
Measurement (2025), pp. 117027-117027
Closed Access
A Lightweight CNN for Wind Turbine Blade Defect Detection Based on Spectrograms
Yuefan Zhu, Xiaoying Liu
Machines (2023) Vol. 11, Iss. 1, pp. 99-99
Open Access | Times Cited: 10
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Journal of Computing and Information Science in Engineering (2023) Vol. 23, Iss. 5
Closed Access | Times Cited: 10
Hybrid Wavelet–CNN Fault Diagnosis Method for Ships’ Power Systems
Dimitrios Paraskevopoulos, Christos Spandonidis, Fotis Giannopoulos
Signals (2023) Vol. 4, Iss. 1, pp. 150-166
Open Access | Times Cited: 9
Thermographic image-based diagnosis of failures in electrical motors using deep transfer learning
Luiz Fillipe Dahmer dos Santos, Jorge Luiz dos Santos Canuto, Rodrigo Clemente Thom de Souza, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107106-107106
Closed Access | Times Cited: 8
Identification of overhead line fault traveling wave and interference clutter based on convolution neural network and random forest fusion
Xincui Tian, Ziqian Liu, Jinggang Liu, et al.
Energy Reports (2023) Vol. 9, pp. 1531-1545
Open Access | Times Cited: 7
Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview
Diego García-Pérez, Mariam Saeed, Ignacio Díaz, et al.
IEEE Access (2024) Vol. 12, pp. 27167-27179
Open Access | Times Cited: 2
Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.
Caio Filipe de Lima Munguba, Gustavo de Novaes Pires Leite, Felipe Farias, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108363-108363
Closed Access | Times Cited: 2
A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Ying Tian, Yiwei Wang, Xin Peng, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28268-28290
Closed Access | Times Cited: 5
A comparative case study between shallow and deep neural networks in induction motor's fault diagnosis
Azadeh Gholaminejad, Saeid Jorkesh, Javad Poshtan
IET Science Measurement & Technology (2023) Vol. 17, Iss. 5, pp. 195-207
Open Access | Times Cited: 4
Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet
Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, et al.
(2024), pp. 32-39
Closed Access | Times Cited: 1
Wind Turbine Anomaly Detection and Identification based on Graph Neural Networks with Decision Interpretability
Guoqian Jiang, Zichen Yi, Qun He
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116141-116141
Closed Access | Times Cited: 1
Artificial Intelligence-Based Recommendation System for Detecting and Diagnosing Broken Bars in Induction Motors Under Transient Operation
Narco Afonso Ravazzoli Maciejewski, Roberto Zanetti Freire, Anderson Luis Szejka, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 1156-1161
Open Access | Times Cited: 1
A Comparative Study for the Detection of Stator Inter-Turn Faults in Induction Motors Using Shallow Neural Networks and Non-Neural Based Techniques
Priynka Sharma, Giansalvo Cirrincione, Rahul Kumar, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Voltage-Induced Heating Defect Detection for Electrical Equipment in Thermal Images
Ying Lin, Zhuangzhuang Li, Yiwei Sun, et al.
Energies (2023) Vol. 16, Iss. 24, pp. 8036-8036
Open Access | Times Cited: 4
A Daubechies wavelet analysis on coupled radiation and conduction in absorbing and scattering medium under pulsed laser
Yu Shi, Xin-Lin Xia, Xue Chen, et al.
Applied Thermal Engineering (2023) Vol. 240, pp. 122173-122173
Closed Access | Times Cited: 3
Accurate segmentation of infrared images for circuit board diagnosis using an improved Deeplabv3+ network
Jianxin Hao, Xuan Xia, Li Wang, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 2
Inter-turn Short Circuit Fault Diagnosis and Severity Estimation for Wind Turbine Generators
Jing‐Yi Yan, Soroush Senemmar, Jie Zhang
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 3, pp. 032021-032021
Open Access
Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction
Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11710-11710
Open Access
Fault diagnosis for wind turbine generators based on Model-Agnostic Meta-Learning: A few-shot learning method
Likui Qiao, Yuxian Zhang, Qisen Wang, et al.
Expert Systems with Applications (2024), pp. 126171-126171
Closed Access
DEEP LEARNING-BASED MODEL FOR PADDY DISEASES CLASSIFICATION BY THERMAL INFRARED SENSOR: AN APPLICATION FOR PRECISION AGRICULTURE
Omneya Attallah
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-1/W1-2023, pp. 779-784
Open Access | Times Cited: 1
Gas Leakage Recognition Using Manifold Convolutional Neural Networks and Infrared Thermal Images
Omneya Attallah, Amr El-Helw
(2023), pp. 2003-2008
Closed Access | Times Cited: 1
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