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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:

Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis
Qin Hu, Xiaosheng Si, Aisong Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12139-12151
Closed Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

Cross-domain transfer fault diagnosis by class-imbalanced deep subdomain adaptive network
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement (2024) Vol. 242, pp. 115901-115901
Closed Access | Times Cited: 3
A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis
Quanling Zhang, Ningze Tang, Xing Fu, et al.
Actuators (2023) Vol. 12, Iss. 5, pp. 188-188
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
A multi-order moment matching-based unsupervised domain adaptation with application to cross-working condition fault diagnosis of rolling bearings
Qi Chang, Congcong Fang, Wei Zhou, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model
Qibin Wang, Ni Liu, Junji Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107739-107739
Closed Access | Times Cited: 5
Parallel adversarial feature learning and enhancement of feature discriminability for fault diagnosis of a planetary gearbox under time-varying speed conditions
Chuan Zhao, Yinglin Zhang
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125019-125019
Closed Access | Times Cited: 9
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
Improved Adversarial Transfer Network for Bearing Fault Diagnosis under Variable Working Conditions
Jun Wang, Hosameldin Ahmed, Xuefeng Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2253-2253
Open Access | Times Cited: 1
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults
Chuan Li, Yifan Wu, Manjun Xiong, et al.
Journal of Intelligent Manufacturing (2024)
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
Electric Motor Bearing Fault Noise Detection via Mel-Spectrum-Based Contrastive Self-Supervised Transformer Model
Xiaotian Zhang, Yunshu Liu, Chao Gong, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 6, pp. 8755-8765
Closed Access | Times Cited: 1
Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis
Shenquan Wang, Fangyuan Zhao, Chao Cheng, et al.
Neurocomputing (2024), pp. 128734-128734
Closed Access | Times Cited: 1
A small sample diagnosis method driven by simulation and test data: applied to axle box bearings of high-speed train
Jingsong Xie, Longzhen Tian, Mingqi Lin, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125044-125044
Closed Access | Times Cited: 4
Multisensor-Driven Cross-Domain Motor Fault Diagnosis Based on Multibasis Energy Pattern
Xiaofei Zhang, Xin Peng, Yinpeng Qu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19660-19669
Closed Access | Times Cited: 3
Multiscale Pooled Convolutional Domain Adaptation Network for Intelligent Diagnosis of Rolling Bearing Under Variable Conditions
Xiaoshan Lin, Quan Jiang, Yehu Shen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26163-26176
Closed Access | Times Cited: 2
Rolling Bearing Fault Diagnosis with Distribution Shift Data Using Improved Spatial Distribution Filters and Constraint Feature Extraction
Yunji Zhao, Wenming Bao, Xiaozhuo Xu
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 6, pp. 3749-3763
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Proportional periodic sampling for cross-load bearing fault diagnosis
Jianbo Zheng, Bin Jiang, Chao Yang
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
A Novel Method for Fault Diagnosis of Motor Bearings via Chord Transformation Strategy
Peien Luo, Zhonggang Yin, Yanqing Zhang, et al.
Lecture notes in electrical engineering (2024), pp. 102-107
Closed Access
Adaptive Topology-Aware Siamese Network for Cross-domain Fault Diagnosis with Small Samples
Zixu Chen, Jinchen Ji, Kai Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24438-24451
Closed Access
Adaptive fixed-time fuzzy containment control for uncertain nonlinear multiagent systems with unmeasurable states
Ruixia Liu, Lei Xing, Yongjian Zhong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Bearing Cooperative Fault Diagnosis Based on Multi-adversarial Multi-domain Adaptive Network
Shijie Wei, Ke Zhang, Haifeng Li, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 5869-5874
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
A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning
Jinbiao Tan, Jiafu Wan, Hu Cai, et al.
Lecture notes in computer science (2024), pp. 3-15
Closed Access
EICD: Causal Structure Recovery of Bearing Failure Data Containing Latent Confounding
Xu Ding, Jun Chen, Guanhua Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 30560-30574
Closed Access

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