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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:

Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
Chuanjiang Li, Shaobo Li, Huan Wang, et al.
Knowledge-Based Systems (2023) Vol. 264, pp. 110345-110345
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

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
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds
Jingjie Luo, Haidong Shao, Jian Lin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110001-110001
Closed Access | Times Cited: 89
Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis
Leiming Ma, Bin Jiang, Lingfei Xiao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110490-110490
Closed Access | Times Cited: 43
A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model
Chuanjiang Li, Kai Luo, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23239-23254
Closed Access | Times Cited: 28
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 27
A Novel Noise-Aided Fault Feature Extraction Using Stochastic Resonance in a Nonlinear System and Its Application
Jianhua Yang, Zhile Wang, Yu Guo, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11856-11866
Closed Access | Times Cited: 23
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
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
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions
Kwok Tai Chui, Brij B. Gupta, Jiaqi Liu, et al.
Information (2023) Vol. 14, Iss. 7, pp. 388-388
Open Access | Times Cited: 22
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds
Ying Li, Lijie Zhang, Pengfei Liang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110363-110363
Closed Access | Times Cited: 13
Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features
Manh-Hung Vu, Van-Quang Nguyen, Thi-Thao Tran, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-18
Closed Access | Times Cited: 9
Multi-task learning for few-shot biomedical relation extraction
Vincenzo Moscato, Giuseppe Napolano, Marco Postiglione, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13743-13763
Open Access | Times Cited: 19
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Junwei Hu, Weigang Li, Ailong Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110958-110958
Closed Access | Times Cited: 19
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
A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning
Huan Wang, Xindan Wang, Yizhuo Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 5
An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation
Zini Jian, Tianxiang Song, Zhihui Zhang, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 928-928
Open Access | Times Cited: 5
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
Prior Knowledge-Augmented Meta-Learning for Fine-Grained Fault Diagnosis
Yuhang Zhou, Qiang Zhang, Ting Huang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8115-8124
Closed Access | Times Cited: 5
Fault diagnosis of drone motors driven by current signal data with few samples
Guanglin Chen, Shaobo Li, Qiuchen He, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086202-086202
Open Access | Times Cited: 5
Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning
Shun Yang, Yajun Du, Jia Liu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124429-124429
Closed Access | Times Cited: 5
A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, et al.
Neural Networks (2024) Vol. 178, pp. 106482-106482
Closed Access | Times Cited: 5
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
ADCL: An attention feature enhancement network based on adversarial contrastive learning for short text classification
S.-C. Su, Dangguo Shao, Lei Ma, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103202-103202
Closed Access
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