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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 of rolling bearings with low-quality data: A feature significance and diversity learning method
Jiayu Chen, Cuiyin Lin, Boqing Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109343-109343
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A Novel Transformer-based Few-Shot Learning Method for Intelligent Fault Diagnosis with Noisy Labels under Varying Working Conditions
Haoyu Wang, Chuanjiang Li, Peng Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110400-110400
Closed Access | Times Cited: 14
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 7
Interpretable data-augmented adversarial variational autoencoder with sequential attention for imbalanced fault diagnosis
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 342-359
Closed Access | Times Cited: 21
A Decision Fusion SWT-RF Method for Rolling Bearing Enhanced Diagnosis Under Low-Quality Data
Jiayu Chen, Cuiying Lin, Qinhua Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
A lightweight transformer based on feature fusion and global-local parallel stacked self-activation unit for bearing fault diagnosis
Yandong Hou, Tianzhi Li, Jinjin Wang, et al.
Measurement (2024) Vol. 236, pp. 115068-115068
Closed Access | Times Cited: 5
Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network
Cailu Pan, Zhiwu Shang, Lutai Tang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111780-111780
Closed Access | Times Cited: 5
Feature Similarity-Aware Open-Set Fault Diagnosis Via an Adaptive Dual-Stage Recognition Framework
Penglong Lian, Zhiheng Su, Penghui Shang, et al.
(2025)
Closed 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
The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Jie Zhou, Kehan Ge, Yiping Shen, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127162-127162
Closed Access
Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure
Yuling Zhan, Ziqian Kong, Ziqi Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110383-110383
Closed Access | Times Cited: 4
LiteDiagNet: Enhancing noise-resistant fault diagnosis in rotating machinery via IoT-Based cloud-edge collaboration
Jin Li, Sijie Liu, Zhenyu Tao, et al.
Journal of Vibration and Control (2025)
Closed Access
A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis
Xiaorong Zheng, Jiahao Nie, Zhiwei He, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109892-109892
Closed Access | Times Cited: 10
A Novel Reinforcement Learning Agent for Rotating Machinery Fault Diagnosis with Data Augmentation
Zhenning Li, Hongkai Jiang, Xin Wang
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110570-110570
Closed Access | Times Cited: 3
A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction
Nan Liu, Chun-Meng Zhu, Meng-Xuan Zhang, et al.
Petroleum Science (2024) Vol. 21, Iss. 4, pp. 2849-2869
Open Access | Times Cited: 2
Voiceprint Fault Diagnosis of Converter Transformer under Load Influence Based on Multi-Strategy Improved Mel-Frequency Spectrum Coefficient and Temporal Convolutional Network
Hui Li, Q. Yao, Xin Li
Sensors (2024) Vol. 24, Iss. 3, pp. 757-757
Open Access | Times Cited: 2
Fractional derivative kernel recursive generalized maximum correntropy for RUL prediction of rolling bearings
Tingsen Zhang, Ming Ye, Xifeng Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111527-111527
Closed Access | Times Cited: 2
A diagnosis method for loss of circulation based on transient-pressure wave analysis and particle swarm optimization
Zhongxi Zhu, Hong Liu, Desheng Wu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 2
A Fault Detection of Aero-engine Rolling Bearings based on CNN-BiLSTM Network Integrated Cross-Attention
Zhilei Jiang, Yang Li, Jinke Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126116-126116
Closed Access | Times Cited: 2
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
Lin Zhu, Jin Wang, Min Chen, et al.
Expert Systems with Applications (2024), pp. 125441-125441
Closed Access | Times Cited: 2
Wind Turbine Bearing Failure Diagnosis Using Multi-Scale Feature Extraction and Residual Neural Networks with Block Attention
Yuanqing Luo, Yuhang Yang, Shuang Kang, et al.
Actuators (2024) Vol. 13, Iss. 10, pp. 401-401
Open Access | Times Cited: 2
Formation of Bearings Parts Waviness in Centerless Mortise Grinding on Rigid Supports
V. Chalyj, Serhii Moroz, Anatolii Tkachuk, et al.
Journal of Engineering Sciences (2023) Vol. 10, Iss. 1, pp. A15-A21
Open Access | Times Cited: 6
Advancing predictive maintenance for gas turbines: An intelligent monitoring approach with ANFIS, LSTM, and reliability analysis
Larbi Brahimi, Nadji Hadroug, Abdelhamid Iratni, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110094-110094
Closed Access | Times Cited: 1
Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers
Balyogi Mohan Dash, Belkacem Ould Bouamama, Komi Midzodzi Pékpé, et al.
Neurocomputing (2024) Vol. 594, pp. 127871-127871
Closed Access | Times Cited: 1
ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information
Zhendong Pang, Yingxin Luan, Jiahong Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110312-110312
Closed Access | Times Cited: 1
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