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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:

Cross-Machine Transfer Fault Diagnosis by Ensemble Weighting Subdomain Adaptation Network
Quan Qian, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 70, Iss. 12, pp. 12773-12783
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
Quan Qian, Yi Wang, Taisheng Zhang, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110748-110748
Closed Access | Times Cited: 82
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
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
A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
Xiongyan Yang, Tianyi Ye, Xianfeng Yuan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7820-7831
Closed Access | Times Cited: 20
Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
Quan Qian, Huayan Pu, Tianjia Tu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111544-111544
Closed Access | Times Cited: 19
Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
Xingchi Lu, Quan Jiang, Yehu Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109976-109976
Closed Access | Times Cited: 12
Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Like draws to like: A Multi-granularity Ball-Intra Fusion approach for fault diagnosis models to resists misleading by noisy labels
Fir Dunkin, Xinde Li, Chuanfei Hu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102425-102425
Closed Access | Times Cited: 8
Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis
Xiongyan Yang, Xianfeng Yuan, Lin Dong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108040-108040
Closed Access | Times Cited: 5
CSTrans: cross-subdomain transformer for unsupervised domain adaptation
Junchi Liu, Xiang Zhang, Zhigang Luo
Complex & Intelligent Systems (2025) Vol. 11, 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
Domain generalization for machine compound fault diagnosis by Domain-Relevant Joint Distribution Alignment
Huayan Pu, Shouwei Teng, Dengyu Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102771-102771
Closed Access | Times Cited: 4
A centroid contrastive multi-source domain adaptation method for fault diagnosis with category shift
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Measurement (2025), pp. 116801-116801
Closed Access
A Multi-Gradient Hierarchical Domain Adaptation Network for transfer diagnosis of bearing faults
Jun Chen, Hui Liu
Expert Systems with Applications (2023) Vol. 225, pp. 120139-120139
Closed Access | Times Cited: 11
Metric Learning-based Few-shot Adversarial Domain Adaptation: A Cross-machine Diagnosis Method for Ball Screws of Industrial Robots
Qitong Chen, Liang Chen, Qi Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 3
Discriminative manifold domain adaptation for cross-domain fault diagnosis of rotating machineries
Yi Qin, Zhengyi Wang, Quan Qian, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111332-111332
Closed Access | Times Cited: 8
Category-aware dual adversarial domain adaptation model for rolling bearings fault diagnosis under variable conditions
Xingchi Lu, Weiyang Xu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 7
Few-shot fault diagnosis for machinery using multi-scale perception multi-level feature fusion image quadrant entropy
Zhenya Wang, Liang Pan, Rengui Bai, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102972-102972
Closed Access | Times Cited: 2
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
Remaining Useful Life Prediction via a Data-Driven Deep Learning Fusion Model-CALAP
M. Wu, Qing Ye, Jianxin Mu, et al.
IEEE Access (2023) Vol. 11, pp. 112085-112096
Open Access | Times Cited: 4
Global receptive field graph attention network for unsupervised domain adaptation fault diagnosis in variable operating conditions
Meiling Cai, Sheng Chen, Jinping Liu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Eļ¬ƒcient Cross-Domain Fault Diagnosis via Distributed Multi-Source Domain Deep Transfer Learning
Lanjun Wan, Jiaen Ning, Yuanyuan Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016165-016165
Closed Access | Times Cited: 1
Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions
Yixiang Huang, Kaiwen Zhang, Pengcheng Xia, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102948-102948
Closed Access | Times Cited: 1
Differentiable neural architecture search for domain adaptation in fault diagnosis
Yumeng Liu, Xudong Li, Yang Hu
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110639-110639
Closed Access | Times Cited: 3
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