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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:

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101651-101651
Closed Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

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
Cross-domain Intelligent Diagnostics for Rotating Machinery Using Domain Adaptive and Adversarial Networks
Kui Hu, Yiwei Cheng, Jun Wu, et al.
Journal of Industrial Information Integration (2024) Vol. 42, pp. 100722-100722
Closed Access | Times Cited: 2
Optimal periodicity-enhanced group sparse for bearing incipient fault feature extraction
Sicheng Zhang, Hongkai Jiang, Renhe Yao, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085101-085101
Closed Access | Times Cited: 6
Knowledge correlation graph-guided multi-source interaction domain adaptation network for rotating machinery fault diagnosis
Zhenghong Wu, Hongkai Jiang, Xin Wang, et al.
ISA Transactions (2023) Vol. 142, pp. 663-682
Closed Access | Times Cited: 5
A reinforcement double deep Q-network with prioritised experience replay for rolling bearing fault diagnosis
Zhenning Li, Hongkai Jiang, Yunpeng Liu
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125133-125133
Closed Access | Times Cited: 5
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
Cross-domain open-set rolling bearing fault diagnosis based on feature improvement adversarial network under noise condition
Haomiao Wang, Yibin Li, Mingshun Jiang, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 2, pp. 5073-5085
Closed Access | Times Cited: 1
Detection-Free Cross-Modal Retrieval for Person Identification Using Videos and Radar Spectrograms
Yang Yang, Xiaochun Shang, Beichen Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
A Multiscale Feature Weighted Transfer Network for Unlabeled Rotating Machinery Fault Diagnosis
Liang Ge, Yinjun Wang, Xiaoxi Ding, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19305-19315
Closed Access | Times Cited: 1
A data-physic driven method for gear fault diagnosis using PINN and pseudo-dynamic features
Yikun Yang, Xifeng Wang, Jinfeng Li, et al.
Measurement (2024) Vol. 236, pp. 115124-115124
Closed Access | Times Cited: 1
Label-free evaluation for performance of fault diagnosis model on unknown distribution dataset
Zhenyu Liu, Haowen Zheng, Hui Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102912-102912
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
Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109748-109748
Closed Access | Times Cited: 1
Adaptive Model-Agnostic Meta-Learning Network for Cross-Machine Fault Diagnosis with Limited Samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
(2024)
Closed Access
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network
Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, et al.
(2023), pp. 105-111
Closed Access
Unsupervised Domain Adversarial Network for Few-Sample Fault Detection in Industrial Processes
Kai Wang, Ruiyi Fang, Jing Li, et al.
(2023)
Closed Access
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