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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:

Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis
Bin Pang, Qiuhai Liu, Zhenli Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102620-102620
Closed Access | Times Cited: 11
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model
Zhikai Xing, Yongbao Liu, Qiang Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mitigating overconfidence in unknown sample predictions: A confidence-enhanced one-versus-all network for open-set transfer fault diagnosis
Yang Liu, Yaowei Shi, Minqiang Deng, et al.
Knowledge-Based Systems (2025), pp. 113013-113013
Closed Access
Fault diagnosis in thermal images of transformer and asynchronous motor through semantic segmentation and different CNN models
Busra Aslan, Selami Balcı, Ahmet Kayabaşı
Applied Thermal Engineering (2025), pp. 125599-125599
Closed Access
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
Barabási-albert model-enhanced genetic algorithm for optimizing LGBM in ship power grid fault diagnosis
Kangzheng Huang, Wei Bo Li, Feng Gao
Measurement (2025), pp. 116954-116954
Closed Access
Cross-domain fault diagnosis of induction motor based on an improved unsupervised generative adversarial network and fine-tuning under limited labeled data
Xin Chen, Zaigang Chen
Measurement (2025), pp. 116988-116988
Closed Access
A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems
Zepeng Ma, Lei Fu, Dapeng Tan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112438-112438
Closed Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Unsupervised transfer learning for monitoring CFRP responses using discrete strains
Yan Huai, Songhe Meng, Bo Gao, et al.
International Journal of Mechanical Sciences (2025), pp. 110142-110142
Closed Access
Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems
Xiaohua Gu, Fei Lu, Liping Yang, et al.
Neural Networks (2025), pp. 107392-107392
Closed Access
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
Deep conditional adversarial subdomain adaptation network for unsupervised mechanical fault diagnosis
Guiping Chen, Dong Xiang, Tingting Liu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112180-112180
Closed Access | Times Cited: 4
Research on a Small-Sample Fault Diagnosis Method for UAV Engines Based on an MSSST and ACS-BPNN Optimized Deep Convolutional Network
Siyu Li, Zichang Liu, Yunbin Yan, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 367-367
Open Access | Times Cited: 3
Cross-domain transfer fault diagnosis by class-imbalanced deep subdomain adaptive network
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement (2024) Vol. 242, pp. 115901-115901
Closed Access | Times Cited: 3
Pseudo-label assisted semi-supervised adversarial enhancement learning for fault diagnosis of gearbox degradation with limited data
Xin Chen, Zaigang Chen, Liang Guo, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112108-112108
Closed Access | Times Cited: 3
A Novel Hybrid Approach to the Diagnosis of Simultaneous Imbalance and Shaft-Bow in a Jeffcott Rotor-Bearing System.
Shyh‐Chin Huang, Sherina Octaviani, Mohammad Najibullah
(2024)
Open Access | Times Cited: 2
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams
Yuyan Zhang, Zhe Liu, Chunjie Yang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111640-111640
Closed Access | Times Cited: 2
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