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:

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

Showing 1-25 of 89 citing articles:

A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35

Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data
Weihan Li, Dunke Liu, Yang Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 24

Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22

A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18

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

Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis
Maogui Niu, Hongkai Jiang, Haidong Shao
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109963-109963
Closed Access | Times Cited: 2

Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2

An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples
Yutong Dong, Hongkai Jiang, Xin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110404-110404
Closed Access | Times Cited: 13

ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12

A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples
Zhangjun Wu, Renli Xu, Yuansheng Luo, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110297-110297
Closed Access | Times Cited: 9

A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 9

A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mu Mingzhe, et al.
Reliability Engineering & System Safety (2024), pp. 110662-110662
Closed Access | Times Cited: 7

Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
Xingxing Jiang, Qiuyu Song, Qian Wang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102494-102494
Closed Access | Times Cited: 6

Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6

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

Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
Zongkai Liu, Ke Zhao, Haidong Shao, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124094-124094
Closed Access | Times Cited: 5

Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method
Junlin Pan, Bo Sun, Zeyu Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110313-110313
Closed Access | Times Cited: 5

Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5

Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery
Xuepeng Zhang, Jinrui Wang, Zongzhen Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102730-102730
Closed Access | Times Cited: 5

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102787-102787
Closed Access | Times Cited: 5

Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104169-104169
Closed Access | Times Cited: 5

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

Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration
Liang Chang, Yan‐Hui Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109980-109980
Closed Access

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