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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:

Deep transfer learning with metric structure for fault diagnosis
Yaqi Xiao, Jiongqi Wang, Zhangming He, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109826-109826
Closed Access | Times Cited: 23

Showing 23 citing articles:

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: 30
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
A Novel Multidomain Contrastive-Coding-Based Open-Set Domain Generalization Framework for Machinery Fault Diagnosis
Biliang Lu, Yingjie Zhang, Qingshuai Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6369-6381
Closed Access | Times Cited: 8
Attribute fusion transfer for zero-shot fault diagnosis
Linchuan Fan, Xiaolong Chen, Yi Chai, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102204-102204
Closed Access | Times Cited: 18
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111255-111255
Closed Access | Times Cited: 16
Multi-label deep transfer learning method for coupling fault diagnosis
Yaqi Xiao, Xuanying Zhou, Haiyin Zhou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111327-111327
Closed Access | Times Cited: 7
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
Chenchen Wu, Jialong He, Wanghao Shen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112291-112291
Closed Access | Times Cited: 4
A cross-domain intelligent fault diagnosis method based on deep subdomain adaptation for few-shot fault diagnosis
Bo Wang, Meng Zhang, Hao Xu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 24474-24491
Closed Access | Times Cited: 10
Stacked maximum independence autoencoders: A domain generalization approach for fault diagnosis under various working conditions
Shan Pang
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111035-111035
Closed Access | Times Cited: 9
Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation
Mengyu Liu, Zhe Cheng, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110298-110298
Closed Access | Times Cited: 3
Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning
Pei Wang, Jingshuai Qi, Xun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102815-102815
Open Access | Times Cited: 2
Adversarial Domain Adaptation with Dual Auxiliary Classifiers for Cross-Domain Open Set Intelligent Fault Diagnosis
Bo Wang, Meng Zhang, Hao Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
Similar or Unknown Fault Mode Detection of Aircraft Fuel Pump Using Transfer Learning With Subdomain Adaption
Zhen Liu, Xiaojun Zhang, Jun Pan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6
Unsupervised Domain Adaptation Method Based on Domain-Invariant Features Evaluation and Knowledge Distillation for Bearing Fault Diagnosis
Kong Sun, Lin Bo, Huaijin Ran, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 4
An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening
Chunran Huo, Weiyang Xu, Quan Jiang, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2288-2309
Closed Access | Times Cited: 4
An Unsupervised Domain Adaption Method for Fault Diagnosis via Multi-channel Variational Hypergraph Auto-Encoder
Xiangmin Luo, Ziwei Chen, Da Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Closed Access | Times Cited: 1
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
A new indirect transfer fault diagnosis method based on feature separation
Chenhui Qian, Zhaojun Yang, Jialong He, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112058-112058
Closed Access
Piston aero-engine fault cross-domain diagnosis based on unpaired generative transfer learning
Pengfei Shen, Fengrong Bi, Xiaoyang Bi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109159-109159
Closed Access
Meta-learning-based fault diagnosis method for rolling bearings under cross working-conditions
Zhijie Xie, Hao Zhan, Yu Wang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016218-016218
Closed Access
Weighted asynchronous subdomain adaptation network for unsupervised fault diagnosis of bearing
Lin Bo, Kong Sun, Zhi Tang, et al.
Research Square (Research Square) (2022)
Open Access
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