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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:

A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
Rafia Nishat Toma, Farzin Piltan, Kichang Im, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4881-4881
Open Access | Times Cited: 20

Showing 20 citing articles:

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles
Mohammad Zamani Khaneghah, Mohamad Alzayed, Hicham Chaoui
Machines (2023) Vol. 11, Iss. 7, pp. 713-713
Open Access | Times Cited: 32
Bearing fault damage degree identification method based on SSA-VMD and Shannon entropy–exponential entropy decision
Xiaochi Luan, Chenghao Zhong, Fengtong Zhao, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3105-3133
Closed Access | Times Cited: 7
Enhanced Fault Detection in Bearings Using Machine Learning and Raw Accelerometer Data: A Case Study Using the Case Western Reserve University Dataset
Krish Kumar Raj, Shahil Kumar, Rahul Kumar, et al.
Information (2024) Vol. 15, Iss. 5, pp. 259-259
Open Access | Times Cited: 5
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features
Rafia Nishat Toma, Yangde Gao, Farzin Piltan, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8958-8958
Open Access | Times Cited: 22
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
Sea Surface Floating Small-Target Detection Based on Dual-Feature Images and Improved MobileViT
Yang Liu, Hongyan Xing, Tianhao Hou
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 572-572
Open Access
Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview
Afef Fekih, Hamed Habibi, Silvio Simani
Energies (2022) Vol. 15, Iss. 19, pp. 7186-7186
Open Access | Times Cited: 18
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme
Farzin Piltan, Jong-Myon Kim
Sensors (2023) Vol. 23, Iss. 2, pp. 1021-1021
Open Access | Times Cited: 9
Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy
Helder Arruda, Rodrigo Simon Bavaresco, Rafael Kunst, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5010-5010
Open Access | Times Cited: 8
Novel Preprocessing of Multimodal Condition Monitoring Data for Classifying Induction Motor Faults Using Deep Learning Methods
Shahd Hejazi, Michael Packianather, Ying Liu
(2022)
Closed Access | Times Cited: 8
A comprehensive review of mechanical fault diagnosis methods based on convolutional neural network
Junjian Hou, Xikang Lu, Yudong Zhong, et al.
Journal of Vibroengineering (2023) Vol. 26, Iss. 1, pp. 44-65
Open Access | Times Cited: 4
Fault Diagnosis Method for Human Coexistence Robots Based on Convolutional Neural Networks Using Time-Series Data Generation and Image Encoding
Seung-Hwan Choi, Jun-Kyu Park, Dawn An, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9753-9753
Open Access | Times Cited: 3
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
Fault Diagnostics of 3-phase Induction Motor using CNN with Park’s Vector Approach Input Data Configuration
Yeong-Jin Goh
(2024), pp. 234-239
Closed Access
Systematic Review of Bearing Component Failure: Strategies for Diagnosis and Prognosis in Rotating Machinery
Komandur S. Sunder Raj, Shahil Kumar, Rahul Kumar
Arabian Journal for Science and Engineering (2024)
Closed Access
Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of Induction Motors
Fatemeh Davoudi Kakhki, Armin Moghadam
Lecture notes in networks and systems (2023), pp. 233-241
Closed Access | Times Cited: 1
COVID-19 Detection Based on 6-Layered Explainable Customized Convolutional Neural Network
Jiaji Wang, Shuwen Chen, Yu Cao, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 3, pp. 2595-2616
Open Access | Times Cited: 1
Membership inference attacks against compression models
Yong Jin, Weidong Lou, Yanghua Gao
Computing (2023) Vol. 105, Iss. 11, pp. 2419-2442
Closed Access | Times Cited: 1
Multiple Fault Detection in Taper Roller Bearings Based on Sensor Fusion of Acoustic Emission and Vibration Data Using Deep Learning Techniques
Pavan Mahajan, V. Vasu, Kolakaluri Srin, et al.
Research Square (Research Square) (2023)
Open Access
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network
Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim
Frontiers in artificial intelligence and applications (2022)
Open Access
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