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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:

Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 118

Showing 26-50 of 118 citing articles:

Research on peak load shifting for hybrid energy system with wind power and energy storage based on situation awareness
Yanchen Liu, Minfang Peng
Journal of Energy Storage (2024) Vol. 82, pp. 110472-110472
Closed Access | Times Cited: 8
Rolling bearing fault diagnosis based on multi-domain features and whale optimized support vector machine
Bing Wang, Huimin Li, Xiong Hu, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 6
Interpretable intelligent fault diagnosis strategy for fixed-wing UAV elevator fault diagnosis based on improved cross entropy loss
Yang Li, Zhen Jia, Zhenbao Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076110-076110
Closed Access | Times Cited: 6
Meta-learning-based approach for tool condition monitoring in multi-condition small sample scenarios
Bowen Zhang, Xianli Liu, Caixu Yue, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111444-111444
Closed Access | Times Cited: 6
Motor Current Time-Varying Quadratic Phase Coupling Analysis and Its Application in Traction Motor Fault Detection Under Varying-Speed Condition
Jiangtian Yang, Zeyang Li, Peng Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12877-12886
Closed Access | Times Cited: 5
MGGSED-SSA: An improved sparse deconvolution method for rolling element bearing diagnosis
Peiming Shi, Shiming Gao, Hang Tan, et al.
Applied Acoustics (2024) Vol. 220, pp. 109960-109960
Closed Access | Times Cited: 5
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123859-123859
Closed Access | Times Cited: 5
Adaptive Knowledge Distillation Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing
Yanzhi Wang, Ziyang Yu, Jinhong Wu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23156-23169
Closed Access | Times Cited: 5
A novel sliding mixing graph contrastive domain adaptation method for fault diagnosis under time-varying speeds
Kai Chen, Zong Meng, Dengyun Sun, et al.
Expert Systems with Applications (2025), pp. 126576-126576
Closed Access
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Yiming He, Weiming Shen
Expert Systems with Applications (2023) Vol. 233, pp. 120957-120957
Closed Access | Times Cited: 15
A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model
Fengyuan Zhang, Jie Liu, Yuxin Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106974-106974
Closed Access | Times Cited: 13
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system
Yuhang Ming, Haidong Shao, Baoping Cai, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122178-122178
Closed Access | Times Cited: 13
Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4
A multi-scale feature extraction and fusion method for bearing fault diagnosis based on hybrid attention mechanism
Huan Meng, Jiakai Zhang, Jingbo Zhao, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 31-41
Closed Access | Times Cited: 4
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Zhijun Ren, Kai Huang, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108332-108332
Closed Access | Times Cited: 4
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
A physics-based sample generation method for few-shot bearing condition monitoring
Zepeng Ma, Lei Fu, Fang Xu, et al.
Knowledge-Based Systems (2025), pp. 112952-112952
Closed Access
An Improved Cross-Machine Transfer Strategy Based on Multi-Source Domain Knowledge for Abnormal Sample Recognition
Zhenhao Yan, Bingqiang Zhou, Zenggui Gao, et al.
Reliability Engineering & System Safety (2025), pp. 110848-110848
Closed Access
KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112379-112379
Closed Access
Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis
Huaqing Wang, Dongrui Lv, Tianjiao Lin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110200-110200
Closed Access
MusicalBSI - musical genres responses to fMRI signals analysis with prototypical model agnostic meta-learning for brain state identification in data scarce environment
Subhayu Dutta, Saptiva Goswami, Sonali Debnath, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109795-109795
Closed Access
Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
Yue Yu, Hamid Reza Karimi, Len Gelman, et al.
Expert Systems with Applications (2025), pp. 126947-126947
Open Access
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed 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

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