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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.

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Showing 76-100 of 373 citing articles:

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
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis
Thanh N. Nguyen, Van Quang Nguyen, Gia-Bao Truong, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Discriminative fault diagnosis transfer learning network under joint mechanism
Yuxuan Yang, Jing Jiang, Jian Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion
Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings
Juan José Saucedo-Dorantes, Francisco Arellano-Espitia, Miguel Delgado-Prieto, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5832-5832
Open Access | Times Cited: 30
A Quadruplet Deep Metric Learning model for imbalanced time-series fault diagnosis
Xingtai Gui, Jiyang Zhang, Jianxiong Tang, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107932-107932
Closed Access | Times Cited: 27
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams
Yue Lu, Renjie Wu, Abdullah Mueen, et al.
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 2, pp. 627-669
Closed Access | Times Cited: 11
Conditional variational transformer for bearing remaining useful life prediction
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 59, pp. 102247-102247
Open Access | Times Cited: 11
Representative Real-Time Dataset Generation Based on Automated Fault Injection and HIL Simulation for ML-Assisted Validation of Automotive Software Systems
Mohammad Abboush, Christoph Knieke, Andreas Rausch
Electronics (2024) Vol. 13, Iss. 2, pp. 437-437
Open Access | Times Cited: 3
Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE
Baoxian Chang, Xing Zhao, Dawei Guo, et al.
IEEE Access (2024) Vol. 12, pp. 130746-130762
Open Access | Times Cited: 3
Information Enhanced Slow Feature Analysis Integrated with Prior Fault Data for Sensitive Monitoring of Chemical Processes
Xiaogang Deng, Wenjie Yang, Yuping Cao, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 3
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
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types
Katharina Rombach, Gabriel Michau, Olga Fink
Sensors (2021) Vol. 21, Iss. 10, pp. 3550-3550
Open Access | Times Cited: 25
CNN-Based Fault Detection for Smart Manufacturing
Dhiraj Neupane, Yunsu Kim, Jongwon Seok, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11732-11732
Open Access | Times Cited: 23
Diagnosis of Unbalance in Lightweight Rotating Machines Using a Recurrent Neural Network Suitable for an Edge-Computing Framework
L. Y. Imamura, Sérgio Luciano Ávila, Fernando S. Pacheco, et al.
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 4, pp. 1272-1285
Closed Access | Times Cited: 16
Analysis of vibration signals caused by ball bearing defects using time-domain statistical indicators
Prashant H. Jain, Santosh Bhosle
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 90
Open Access | Times Cited: 16
One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis
Xiaofan Liu, Jason Centeno, Juan Carlos Alvarado, et al.
IEEE Access (2022) Vol. 10, pp. 86998-87007
Open Access | Times Cited: 16
FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things
Fangyu Li, Junnuo Lin, Honggui Han
Industrial Artificial Intelligence (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 10
Detection of defects in a bearing by analysis of vibration signals
Karim Bouaouiche, Yamima Menasria, Dalila Khalfa
Diagnostyka (2023) Vol. 24, Iss. 2, pp. 1-7
Open Access | Times Cited: 10
Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals
Hosameldin Ahmed, Asoke K. Nandi
Machines (2023) Vol. 11, Iss. 7, pp. 746-746
Open Access | Times Cited: 10
Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis
Zheng Cao, Jisheng Dai, Weichao Xu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1562-1574
Closed Access | Times Cited: 9
Few-Shot Learning-Based Light-Weight WDCNN Model for Bearing Fault Diagnosis in Siamese Network
Daehwan Lee, Jongpil Jeong
Sensors (2023) Vol. 23, Iss. 14, pp. 6587-6587
Open Access | Times Cited: 9
Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach
Dechen Yao, Tao Zhou, Jianwei Yang
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 9523-9535
Closed Access | Times Cited: 3
A Multi-scale Attention-Based Transfer Model for Cross-bearing Fault Diagnosis
Puda Li
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Bearing Fault Diagnosis Based on Artificial Intelligence Methods: Machine Learning and Deep Learning
A. Ghorbel, Sarra Eddai, Bouthayna Limam, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 3

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