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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:

Intelligent Fault Diagnosis Method Using Acoustic Emission Signals for Bearings under Complex Working Conditions
Minh Pham, Jong-Myon Kim, Cheol Hong Kim
Applied Sciences (2020) Vol. 10, Iss. 20, pp. 7068-7068
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Vibration signal-based early fault prognosis: Status quo and applications
Yaqiong Lv, Wenqin Zhao, Zhiyao Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101609-101609
Closed Access | Times Cited: 80
Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
Closed Access | Times Cited: 32
Data-Driven Fault Diagnosis for Electric Drives: A Review
David Gonzalez-Jimenez, Jon del Olmo, Javier Poza, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4024-4024
Open Access | Times Cited: 80
Thermographic Fault Diagnosis of Ventilation in BLDC Motors
Adam Głowacz
Sensors (2021) Vol. 21, Iss. 21, pp. 7245-7245
Open Access | Times Cited: 80
Review of rotating machinery elements condition monitoring using acoustic emission signal
Pradeep Kundu
Expert Systems with Applications (2024) Vol. 252, pp. 124169-124169
Closed Access | Times Cited: 8
Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
Minh Pham, Jong-Myon Kim, Cheol Hong Kim
Sensors (2020) Vol. 20, Iss. 23, pp. 6886-6886
Open Access | Times Cited: 50
The Bearing Faults Detection Methods for Electrical Machines—The State of the Art
Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 296-296
Open Access | Times Cited: 32
Bridging the gap between AI and the industry — A study on bearing fault detection in PMSM-driven systems using CNN and inverter measurement
Philipp Mueller, Lukas Woelfl, Suat Can
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106834-106834
Closed Access | Times Cited: 17
A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion
Xianming Sun, Yuhang Yang, Changzheng Chen, et al.
Actuators (2025) Vol. 14, Iss. 1, pp. 17-17
Open Access
2D CNN-Based Multi-Output Diagnosis for Compound Bearing Faults under Variable Rotational Speeds
Minhtuan Pham, Jong-Myon Kim, Cheol Hong Kim
Machines (2021) Vol. 9, Iss. 9, pp. 199-199
Open Access | Times Cited: 31
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
Fault Diagnosis of Crack on Gearbox Using Vibration-Based Approaches
S. Mohammed, Nouby M. Ghazaly, Jamil Abdo
Symmetry (2022) Vol. 14, Iss. 2, pp. 417-417
Open Access | Times Cited: 19
Acoustic emission monitoring of naturally developed damage in large-scale low-speed roller bearings
Bart Scheeren, Miroslaw Lech Kaminski, Lotfollah Pahlavan
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 360-382
Open Access | Times Cited: 10
Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights
Minh Pham, Jong-Myon Kim, Cheol Hong Kim
IEEE Access (2021) Vol. 9, pp. 98800-98811
Open Access | Times Cited: 23
A Survey on Artificial Intelligence-Based Acoustic Source Identification
Ruba Zaheer, Iftekhar Ahmad, Daryoush Habibi, et al.
IEEE Access (2023) Vol. 11, pp. 60078-60108
Open Access | Times Cited: 9
Non-Invasive Inspections: A Review on Methods and Tools
Mubarak Alotaibi, Barmak Honarvar Shakibaei Asli, Muhammad Khan
Sensors (2021) Vol. 21, Iss. 24, pp. 8474-8474
Open Access | Times Cited: 22
Deep neural network approaches for detecting gastric polyps in endoscopic images
Serdar Durak, Bülent Bayram, Tolga Bakırman, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 7-8, pp. 1563-1574
Closed Access | Times Cited: 15
Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method
Rafał Grądzki, Błażej Bartoszewicz, José Emiliano Martínez
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2160-2160
Open Access | Times Cited: 5
Acoustic Emission Based Fault Detection of Substation Power Transformer
Xin Ma, Yu Luo, Jian Shi, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2759-2759
Open Access | Times Cited: 8
Comparative Analysis of Continuous Wavelet Transforms on Vibration signal in Bearing Fault Diagnosis of Induction Motor
Rafia Nishat Toma, Farzana Haque Toma, Jong-Myon Kim
2021 International Conference on Electronics, Communications and Information Technology (ICECIT) (2021), pp. 1-4
Closed Access | Times Cited: 9
Computation Reduction Method for CNN-based Bearing Fault Diagnosis
Jae Hyun Park, Cheol Hong Kim
Journal of Digital Contents Society (2023) Vol. 24, Iss. 6, pp. 1373-1379
Open Access | Times Cited: 2
Condition monitoring based on locating defects via strain gauge analysis
Anvar Valeev
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109587-109587
Open Access | Times Cited: 3
Application of clustering algorithms to detect abnormal state of pumping equipment
Anvar Valeev, Aliia Siraeva, Yang Chen
Liquid and Gaseous Energy Resources (2022) Vol. 2, Iss. 2, pp. 73-79
Open Access | Times Cited: 3
Rotor Bearing Casing with added Polymer Particle Composite
Zuzana Murčínková, Martin Pollák
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12488-12493
Open Access
Convolutional neural network-based fracture detection in spectrogram of acoustic emission
R. Monika, S. Deivalakshmi
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4059-4074
Closed Access
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