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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:

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 26-50 of 44 citing articles:

A class-center fine-tuning prototypical network for few-shot fault diagnosis of turnout switch machine driven by multi-source signals
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Measurement (2024) Vol. 242, pp. 115920-115920
Closed Access | Times Cited: 1
OCW: Enhancing Few-Shot Learning with Optimized Class-Weighting Methods
Jieui Kang, Subean Lee, Eunseo Kim, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
A Multisource Scale Subdomain Adaptation Network With Multihead Hybrid Self-Attention for Remaining Useful Life Prediction of Rolling Bearings
Hao Tian, Yan Han, Pingan Yang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 3, pp. 3098-3112
Closed Access | Times Cited: 2
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
A few-shot based phase-batch multi-layer domain adaptation pattern recognition method
Yiming Li, Jiankang Wang, Guangxu Luo, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076105-076105
Closed Access
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation
Jiang Liu, Lanhao Wang, Yan Qin, et al.
(2024)
Open Access
Structured Prediction in Latent Subspace for Unsupervised Fault Diagnosis with Small and Imbalanced Data
Zhengwei Zhu, Xuan Fang, Chenyang Zhu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 25106-25115
Closed Access
A deep steganalysis network combining source-supervised and target-unsupervised information for cover-source mismatch
Lifang Yu, Zhuwei Zhang, Shaowei Weng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124790-124790
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Few-shot fault diagnosis of rolling bearing via mutual centralized learning combining simple and parameter-free attention
Keheng Zhu, Dexian Tang, Liang Chen, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 10
Closed Access
Comprehensive feature integrated capsule network for Machinery fault diagnosis
Huangkun Xing, Xingxing Jiang, Qiuyu Song, et al.
Expert Systems with Applications (2024), pp. 125450-125450
Closed Access
Enhanced landslide susceptibility mapping in data-scarce regions via unsupervised few-shot learning
L. S. L. Kong, Wenkai Feng, Xiaoyu Yi, et al.
Gondwana Research (2024) Vol. 138, pp. 31-46
Closed Access
Contrastive learning-enabled digital twin framework for fault diagnosis of rolling bearing
Yongchao Zhang, Xin Zhou, Cheng Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015026-015026
Closed Access
Fault diagnosis of wind power pitch bearings based on spatiotemporal clustering and a deep attention subdomain adaptive residual network
Peng Jiang, Yuhui Wang, Chang Yang, et al.
Measurement (2024) Vol. 242, pp. 116187-116187
Closed Access
Pseudo-Label Assisted Contrastive Learning Model for Unsupervised Open-set Domain Adaptation in Fault Diagnosis
Weicheng Wang, Chao Li, Zhipeng Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110650-110650
Closed Access
Intelligent fault diagnosis of high-speed train axle box bearings under parameter fluctuation working conditions using continuous cohomology-based meta-transfer learning framework
Yang Li, Xiangyin Meng, Feiyun Xu, et al.
Structural Health Monitoring (2024)
Closed Access
Adaptive Variational Sampling-embedded Domain Generalization Network for fault diagnosis with intra-inter-domain class imbalance
Xiao Zhang, Weiguo Huang, Jun Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110707-110707
Closed Access
Few-shot bearing fault diagnosis based on ResAttn-Siamese
Gang Wu, Ling Zhao, Hangjun Wu, et al.
2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI) (2024), pp. 1-6
Closed Access
Few-Shot Bearing Fault Diagnosis Based on Multi-Metric Fusion Learning
Lili Liang, Ping Yuan
2021 China Automation Congress (CAC) (2023), pp. 6665-6670
Closed Access
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