Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Wengang Ma, Yadong Zhang, Liang Ma, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120084-120084
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123225-123225
Closed Access | Times Cited: 26
Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains
Ke Zhao, Zhenbao Liu, Jia Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111258-111258
Closed Access | Times Cited: 17
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 22
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation
Fei Jiang, Weiqi Lin, Zhaoqian Wu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102460-102460
Closed Access | Times Cited: 13
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
Transfer learning rolling bearing fault diagnosis model based on deep feature decomposition and class-level alignment
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
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
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
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
Few-shot learning fault diagnosis of rolling bearings based on siamese network
Xiaoyang Zheng, Zhixia Feng, Zijian Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095018-095018
Closed Access | Times Cited: 3
Adaptive resonance demodulation semantic-induced zero-shot compound fault diagnosis for railway bearings
Shaoning Tian, Dong Zhen, Haiyang Li, et al.
Measurement (2024) Vol. 235, pp. 115040-115040
Closed Access | Times Cited: 3
PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions
Minseok Chae, Hyeongmin Kim, Hye Jun Oh, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 3, pp. 337-358
Open Access | Times Cited: 3
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery
Shi-Zheng Yuan, Zhaohua Liu, Hua‐Liang Wei, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Open Access | Times Cited: 8
RCDD: Contrastive domain discrepancy with reliable steganalysis labeling for cover source mismatch
Lifang Yu, Shaowei Weng, Mengfei Chen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121543-121543
Closed Access | Times Cited: 7
Unsupervised transfer autoencoder model based on adversarial strategy for non-linear process monitoring
Xu Yang, Jieshi Xiao, Jian Huang, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105880-105880
Closed Access | Times Cited: 2
A Bearing Fault Diagnosis Method Based on Improved Transfer Component Analysis and Deep Belief Network
Dalin Li, Meiling Ma
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1973-1973
Open Access | Times Cited: 2
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals
Qitong Chen, Qi Li, Sijia Wu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102617-102617
Closed Access | Times Cited: 2
An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points
Kaiyu Zhang, Jinglong Chen, Chi-Guhn Lee, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121506-121506
Closed Access | Times Cited: 5
A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions
Chengyao Liu, Fei Dong
Shock and Vibration (2024) Vol. 2024, pp. 1-24
Open Access | Times Cited: 1
Intelligent Fault Diagnosis for Variable Working Conditions Based on SAAFN and BICP
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10841-10852
Closed Access | Times Cited: 1
A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
Chengyao Liu, Fei Dong, Kunpeng Ge, et al.
IEEE photonics journal (2024) Vol. 16, Iss. 3, pp. 1-17
Open Access | Times Cited: 1
Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery
Yijiao Liu, Mingying Huo, Q. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Yazhou Zhang, Xiaoqiang Zhao, Haopeng Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7716-7732
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top