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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 New Deep Learning Framework for Imbalance Detection of a Rotating Shaft
Muhammad Wisal, Ki‐Yong Oh
Sensors (2023) Vol. 23, Iss. 16, pp. 7141-7141
Open Access | Times Cited: 10

Showing 10 citing articles:

Vibration Analysis Using Multi-Layer Perceptron Neural Networks for Rotor Imbalance Detection in Quadrotor UAV
B. Salem, Mohd Na’im Abdullah, Faizal Mustapha, et al.
Drones (2025) Vol. 9, Iss. 2, pp. 102-102
Open Access
Micro vibration detection algorithm for rotating machinery based on visual target detection
Sheng Liu, Gulbahar Tohti, Mamtimin Geni, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Detection of incipient rotor unbalance fault based on the RIME-VMD and modified-WKN
Qian Wang, Shuo Hu, Xinya Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Experimental implementation of algebraic identifier for unbalance parameters in a rotor-bearing system
Jesús U. Quiroz-Bautista, Manuel Arias‐Montiel, José Gabriel Mendoza-Larios, et al.
Frontiers in Mechanical Engineering (2025) Vol. 11
Open Access
Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection
P. Ewert, Bartłomiej Wicher, Tomasz Pajchrowski
Electronics (2024) Vol. 13, Iss. 2, pp. 441-441
Open Access | Times Cited: 3
An Integrated Bearing Fault Diagnosis Method Based on Multibranch SKNet and Enhanced Inception-ResNet-v2
Baoquan Hu, Jun Liu, Yue Xu, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-21
Open Access | Times Cited: 3
Physics-Informed Neural Networks for the Condition Monitoring of Rotating Shafts
Marc Parziale, Luca Lomazzi, Marco Giglio, et al.
(2023)
Open Access | Times Cited: 6
Physics-Informed Neural Networks for the Condition Monitoring of Rotating Shafts
Marc Parziale, Luca Lomazzi, Marco Giglio, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 207-207
Open Access | Times Cited: 6
Exploiting Remote Sensing Imagery for Vehicle Detection and Classification using Robust Competitive Algorithm with Deep Convolutional Neural Network
Kamal M. Othman, Hessa Alfraihi, Nadhem Nemri, et al.
Fractals (2024) Vol. 32, Iss. 09n10
Closed Access | Times Cited: 1
An Experiment on Anomaly Detection for Fault Vibration Signals Using Autoencoder-Based N-Segmentation Algorithm
YongKwan Lee, Kichang Park
PHM Society European Conference (2024) Vol. 8, Iss. 1, pp. 8-8
Open Access
Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear
Emmanuel Resendiz‐Ochoa, Omar Trejo-Chavez, Juan José Saucedo-Dorantes, et al.
Applied System Innovation (2024) Vol. 7, Iss. 6, pp. 123-123
Open Access
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