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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 Survey on Fault Diagnosis of Rolling Bearings
Bo Peng, Ying Bi, Bing Xue, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 347-347
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A residual denoising and multiscale attention-based weighted domain adaptation network for tunnel boring machine main bearing fault diagnosis
Zhong Tao, Chengjin Qin, Gang Shi, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 8, pp. 2594-2618
Closed Access | Times Cited: 18
A meta-learning method for few-shot bearing fault diagnosis under variable working conditions
Liang Zeng, Junjie Jian, Xinyu Chang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056205-056205
Open Access | Times Cited: 5
Rolling bearing fault diagnosis method based on mean singular value screening
Xiaochi Luan, Yanzheng Li, Yundong Sha, et al.
Journal of Mechanical Science and Technology (2025) Vol. 39, Iss. 1, pp. 13-26
Closed Access
Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network
Zihao Zhai, Liyan Luo, Yuhan Chen, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 325-325
Open Access
Performance Assessment and Failure Mechanisms of Roller Bearings Using Dual Material Comparison
J.S. Sharma, Inderjeet Singh
SMART MOVES JOURNAL IJOSCIENCE (2025)
Closed Access
Generalized Multivariate Symplectic Sparsest United Decomposition for Rolling Bearing Fault Diagnosis
Weikang Sun, Yanfei Liu, Yanfeng Peng
Electronics (2025) Vol. 14, Iss. 3, pp. 592-592
Open Access
Intelligent fault diagnosis of rolling bearing based on time-frequency processing and DLKA-YOLO
Zhigang Chen, Huaibin Zhang, Zichun Tao, et al.
Franklin Open (2025), pp. 100228-100228
Open Access
A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross-Attention Mechanisms
Xiaorong Liu, Zhonghan Chen, Dongfeng Hu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 886-886
Open Access
Ternary Precursor Centrifuge Rolling Bearing Fault Diagnosis Based on Adaptive Sample Length Adjustment of 1DCNN-SeNet
Feng Xu, Zhen Sui, Jiangang Ye, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 702-702
Open Access | Times Cited: 4
Rolling element bearings
Peter Childs, Marc A. Masen
Elsevier eBooks (2025), pp. 199-246
Closed Access
Sagnac Interference-Based Contact-Type Fiber-Optic Vibration Sensor
Hongmei Li, Longhuang Tang, Lijie Zhang, et al.
Photonics (2025) Vol. 12, Iss. 2, pp. 131-131
Open Access
A Deep-Learning-Based Multi-Modal Sensor Fusion Approach for Detection of Equipment Faults
Ömer Küllü, E. Miné Cinar
Machines (2022) Vol. 10, Iss. 11, pp. 1105-1105
Open Access | Times Cited: 20
PSO-MCKD-MFFResnet based fault diagnosis algorithm for hydropower units
Xu Li, Zhuofei Xu, Yimin Wang
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 14117-14135
Open Access | Times Cited: 9
Adaptive VMD–K-SVD-Based Rolling Bearing Fault Signal Enhancement Study
Meijiao Mao, Kaixin Zeng, Zhifei Tan, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8629-8629
Open Access | Times Cited: 9
Bearing Health State Detection Based on Informer and CNN + Swin Transformer
Chunyang Liu, Weiwei Zou, Zhilei Hu, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 456-456
Open Access | Times Cited: 3
Deep Subdomain Transfer Learning with Spatial Attention ConvLSTM Network for Fault Diagnosis of Wheelset Bearing in High-Speed Trains
Jiujian Wang, Shaopu Yang, Yongqiang Liu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 304-304
Open Access | Times Cited: 7
Rolling Bearing Fault Diagnosis Based on CEEMDAN and CNN-SVM
Lei Shi, Wenchao Liu, Dazhang You, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5847-5847
Open Access | Times Cited: 2
Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis
Zhiheng Su, Penglong Lian, Penghui Shang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110408-110408
Closed Access | Times Cited: 2
Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation
Zhidan Zhong, Hao Liu, Wentao Mao, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 383-383
Open Access | Times Cited: 6
Enhanced quadratic discriminant analysis with sensor signal fusion for speed-independent fault detection in rotating machines
N. Kannan, M. Saimurugan, S. Sowmya Kamath, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125158-125158
Closed Access | Times Cited: 6
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
Methods of detection and localization of the sources of noise and vibration on car gearboxes: a review
Samnang Sann, Elias Tomeh, Tomáš Petr
Journal of Vibroengineering (2024) Vol. 26, Iss. 4, pp. 808-842
Open Access | Times Cited: 1
A DCSLBP based intelligent machine malfunction detection model using sound signals for industrial automation systems
Güllü Boztaş, Türker Tuncer, Ömür Aydoğmuş, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109541-109541
Closed Access | Times Cited: 1
滚动轴承故障诊断研究综述
Xue‐Bo Jin, 继阳 王
Réngōng zhìnéng qiányán yǔ yìngyòng (2024) Vol. 1, Iss. 1, pp. 1-15
Closed Access | Times Cited: 1
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge
Matthias Kreuzer, Walter Kellermann
(2023)
Open Access | Times Cited: 3
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