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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:

Attention guided multi-wavelet adversarial network for cross domain fault diagnosis
Jinrui Wang, Xuepeng Zhang, Zongzhen Zhang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111285-111285
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
Intelligent Fault Diagnosis of Bearings Driven by Double-level Data Fusion Based on Multichannel Sample Fusion and Feature Fusion under Time-Varying Speed Conditions
Zhongwei Zhang, Zonghao Jiao, Youjia Li, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110362-110362
Closed Access | Times Cited: 7
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6
Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis
Ruijia Lu, Shuzhi Liu, Zisu Gong, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1758-1758
Open Access | Times Cited: 5
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110252-110252
Closed Access | Times Cited: 5
Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery
Xuepeng Zhang, Jinrui Wang, Zongzhen Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102730-102730
Closed Access | Times Cited: 5
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Zhenpeng Lao, Deqiang He, Haimeng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108847-108847
Closed Access | Times Cited: 4
Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Calibrated source-free adaptation for intelligent diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112582-112582
Closed Access
PLL-WCAN: Pseudo-label progressive learning guided wavelet class-aware adaptive network for gearbox cross-domain fault diagnosis
Zhenfa Shao, Hong Jiang, Xiangfeng Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112624-112624
Closed Access
A new multi-layer adaptation cross-domain model for bearing fault diagnosis under different operating conditions
Huaiqian Bao, Lingtan Kong, Limei Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106116-106116
Closed Access | Times Cited: 3
Rolling bearing fault diagnosis based on the fusion of sparse filtering and discriminative domain adaptation method under multi-channel data-driven
Zonghao Jiao, Zhongwei Zhang, Youjia Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066112-066112
Closed Access | Times Cited: 2
Application of wavelet dynamic joint adaptive network guided by pseudo-label alignment mechanism in gearbox fault diagnosis
Zhenfa Shao, Hong Jiang, Xiangfeng Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116111-116111
Closed Access | Times Cited: 2
Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis
Yonghua Jiang, Zengjie Qiu, Linjie Zheng, et al.
Applied Acoustics (2024) Vol. 231, pp. 110442-110442
Closed Access | Times Cited: 2
A Novel Subdomain Adaptive Intelligent Fault Diagnosis Method Based on Multiscale Adaptive Residual Networks
Jinrui Wang, X. K. Lv, Yufeng Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076112-076112
Closed Access | Times Cited: 1
A novel domain adaptive method for gearbox fault diagnosis using maximum multiple-classifier discrepancy network
Huaiqian Bao, Yonglong Zhao, Yufeng Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106117-106117
Closed Access | Times Cited: 1
AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis
Yan Han, Sipeng Lv, Qingqing Huang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112361-112361
Closed Access | Times Cited: 1
A Novel Multiscale Adaptive Graph Adversarial Network for Mechanical Fault Diagnosis
Jiayang Liu, Chaobing Wang, Xiaoru Wang, et al.
Knowledge-Based Systems (2024), pp. 112787-112787
Closed Access | Times Cited: 1
Residual attention guided vision transformer with acoustic-vibration signal feature fusion for cross-domain fault diagnosis
Yan Lian, Jinrui Wang, Z Li, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103003-103003
Closed Access | Times Cited: 1
A novel signal resolution enhance method based on CBAM-ResNet for bearing intelligent fault diagnosis
Huaiqian Bao, Ranran Qin, Yanbin Wan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096132-096132
Closed Access
Intelligent fault diagnosis of multi-source cross-machine bearings based on center-weighted optimal transport and class-level alignment domain adaptation
Zhiwu Shang, Changchao Wu, Fei Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116206-116206
Closed Access
A Novel Cross-Domain Mechanical Fault Diagnosis Method Fusing Acoustic and Vibration Signals by Vision Transformer
Zhenyun Chu, Shuo Xing, Baokun Han, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5120-5120
Open Access
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