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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:

Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal
Mohd Syahril Ramadhan Mohd Saufi, M. Firdaus Isham, Zair Asrar Ahmad, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 4, pp. 3827-3838
Closed Access | Times Cited: 18

Showing 18 citing articles:

Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
Novelty Detection and Fault Diagnosis Method for Bearing Faults Based on the Hybrid Deep Autoencoder Network
Yuanyuan Zhao, Huijuan Hao, Yu Chen, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2826-2826
Open Access | Times Cited: 18
Real-time adaptable fault analysis of rotating machines based on Marine predator algorithm optimised LightGBM approach
Duygu Bağcı Daş
Nondestructive Testing And Evaluation (2024), pp. 1-36
Closed Access | Times Cited: 5
Improved versatility and robustness of bearing fault detection and diagnostic method for nuclear power plant
Jin Siang Yap, M. H. Lim, Leong M. Salman
Nuclear Engineering and Design (2024) Vol. 428, pp. 113474-113474
Closed Access | Times Cited: 5
Acoustic Features and Autoencoders for Fault Detection in Rotating Machines: A Case Study
Leonardo Afonso Ferreira Bortoni, Pablo Andretta Jaskowiak
Lecture notes in computer science (2025), pp. 34-49
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
A Comparative Study and Improved Bearing Fault Classifier Using Raw Vibration Data Under Limited Training Samples
Jee Siang Yap, Meng Hee Lim, M. Salman Leong
International Journal of Automotive and Mechanical Engineering (2024) Vol. 21, Iss. 1, pp. 11074-11084
Open Access | Times Cited: 1
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines
Wenjie Li, Xiangpeng Liu, D.H. Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121797-121797
Closed Access | Times Cited: 2
Improved Versatility and Robustness of Bearing Fault Detection and Diagnostic Method for Nuclear Power Plant
Jee Siang Yap, M. H. Lim, Leong M. Salman
(2024)
Closed Access
Incorporating Segmentive & Augmentive Tools in Cosine KNN for Bearing Intelligent Fault Diagnosis
J. S. Yap, M. H. Lim, M. Salman Leong
Journal of Vibration Engineering & Technologies (2024)
Closed Access
Creation of a Machine Learning-Based Automated System for the Multi-Component Fault Analysis of Industrial Machines
Mohammad Ahmar Khan
Deleted Journal (2024) Vol. 20, Iss. 5s, pp. 2351-2358
Open Access
Anomaly Detection in Smart-Manufacturing Era: A Review
Iñaki Elía, Miguel Pagola
(2024)
Closed Access
Fault Diagnosis in Electric Machines and Propellers for Electrical Propulsion Aircraft: A Review
Leonardo Duarte Milfont, Gabriela Torllone de Carvalho Ferreira, Mateus Giesbrecht
(2024)
Closed Access
GABoT: A Lightweight Real-Time Adaptable Approach for Intelligent Fault Diagnosis of Rotating Machinery
Duygu Bağcı Daş, Oğuzhan Daş
Journal of Vibration Engineering & Technologies (2024)
Open Access
Fault diagnosis in electric machines and propellers for electrical propulsion aircraft: A review
Leonardo Duarte Milfont, Gabriela Torllone de Carvalho Ferreira, Mateus Giesbrecht
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109577-109577
Closed Access
Large data density peak clustering based on sparse auto-encoder and data space meshing via evidence probability distribution
Lu Fang
ICST Transactions on Scalable Information Systems (2024) Vol. 11
Open Access
Anomaly detection in Smart-manufacturing era: A review
Iñaki Elía, Miguel Pagola
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109578-109578
Closed Access
Deep-Learning and Dynamic Time Warping-Based Approaches for the Diagnosis of Reactor Systems
H. Y. Jeong, Jihyun Kim, Doyun Jung, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7865-7865
Open Access
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