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.

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Showing 20 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 89

Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 118253-118267
Open Access | Times Cited: 51

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 127783-127799
Open Access | Times Cited: 51

A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors
Guoguo Wu, T. Y. Yan, Guolai Yang, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8330-8330
Open Access | Times Cited: 46

Rotor Fault Diagnosis Method Using CNN-Based Transfer Learning with 2D Sound Spectrogram Analysis
Haiyoung Jung, Sugi Choi, Bohee Lee
Electronics (2023) Vol. 12, Iss. 3, pp. 480-480
Open Access | Times Cited: 16

An Edge Intelligent Method for Bearing Fault Diagnosis Based on a Parameter Transplantation Convolutional Neural Network
Xiang Ding, Hang Wang, Zheng Cao, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1816-1816
Open Access | Times Cited: 16

Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Jawaid I. Inayat-Hussain, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5793-5793
Open Access | Times Cited: 26

Fault Diagnosis Method for Rolling Bearings Based on Two-Channel CNN under Unbalanced Datasets
Yufeng Qin, Xianjun Shi
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8474-8474
Open Access | Times Cited: 25

Fault Diagnosis in Analog Circuits Using a Multi-Input Convolutional Neural Network with Feature Attention
Hui Yuan, Yaoke Shi, Long Li, et al.
Computation (2025) Vol. 13, Iss. 4, pp. 94-94
Open Access

Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review
Hosameldin Ahmed, Asoke K. Nandi
Machines (2022) Vol. 10, Iss. 12, pp. 1113-1113
Open Access | Times Cited: 19

Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Muhammad Bilal Khan, Atta Rahman, Muhammad Saqib Nawaz, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7978-8002
Open Access | Times Cited: 15

Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN
Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5413-5413
Open Access | Times Cited: 15

A Rolling Bearing Fault Diagnosis Based on Conditional Depth Convolution Countermeasure Generation Networks under Small Samples
Peng Cheng, Shuting Zhang, Changyun Li
Sensors (2022) Vol. 22, Iss. 15, pp. 5658-5658
Open Access | Times Cited: 14

Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1

A pavement crack synthesis method based on conditional generative adversarial networks
Hui Yao, Yuhan Wu, Shuo Liu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 903-923
Open Access | Times Cited: 3

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

Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture
Mahe Zabin, Ho‐Jin Choi, Muhammad Kubayeeb Kabir, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3112-3112
Open Access

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