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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:

Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis
Fuzheng Liu, Faye Zhang, Xiangyi Geng, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102217-102217
Closed Access | Times Cited: 17

Showing 17 citing articles:

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
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
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios
Qiu‐Ning Zhu, Hongqi Liu, Chenyu Bao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102445-102445
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
A novel causal feature learning-based domain generalization framework for bearing fault diagnosis with a mixture of data from multiple working conditions and machines
Liu Cheng, Xiangwei Kong, Yongchao Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102622-102622
Closed Access | Times Cited: 5
A collaborative adversarial framework: Distribution characteristics-guided alignment mechanism for fault diagnosis of machines considering domain shift
Xiaoxuan Fan, Lixiang Duan, Na Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103159-103159
Closed Access
Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis
Xiaolin Liu, Fuzheng Liu, Xiangyi Geng, et al.
Measurement (2025), pp. 116989-116989
Closed Access
A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model
Juanru Zhao, Yuan Mei, Yiwen Cui, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1189-1189
Open Access
Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis
Fuzheng Liu, H Wang, Mingshun Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108723-108723
Closed Access | Times Cited: 3
Unsupervised domain adversarial network for few-sample fault detection in industrial processes
Ruiyi Fang, Kai Wang, Jing Li, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102684-102684
Closed Access | Times Cited: 3
FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios
Liu Cheng, Haochen Qi, Rongcai Ma, et al.
Knowledge-Based Systems (2024), pp. 112658-112658
Closed Access | Times Cited: 3
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
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
SeqInfo-SAWGAN-GP: Adaptive feature extraction from vibration time data under variable operating conditions for imbalanced bearing fault diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
Measurement (2024), pp. 116344-116344
Closed Access | Times Cited: 1
Meta-Feature Encoding Based Mixed Domain Generalization Method for Machinery Fault Diagnosis Under Unseen Conditions
Shushuai Xie, Wei Cheng, Zelin Nie, et al.
(2024)
Closed Access
Dual branch feature matching guided multi-source domain adaptive ensemble network for rotating machinery fault diagnosis
Bo Liu, Guofa Li, Jialong He, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103061-103061
Closed Access
Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis
Xiaolin Liu, Fuzheng Liu, Tongzhuo Han, et al.
Neurocomputing (2024), pp. 129260-129260
Closed Access
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