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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:

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72

Showing 26-50 of 72 citing articles:

Rolling Bearing Dynamics Simulation Information-Assisted Fault Diagnosis with Multi-Adversarial Domain Transfer Learning
Zhe Li, Zhidan Zhong, Zhihui Zhang, et al.
Lubricants (2025) Vol. 13, Iss. 3, pp. 116-116
Open Access
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Wenchao Jia, Aijun An, Bin Gong, et al.
Expert Systems with Applications (2025), pp. 127267-127267
Closed Access
Rolling Bearing Fault Diagnosis Based on Wavelet Overlapping Group Shrinkage and Extended Envelope Hierarchical Multiscale-Weighted Permutation Entropy
Runfang Hao, Yingjie Bai, Kun Yang, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 278-278
Open Access
CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains
Chang Guo, Zuogang Shang, Jiaxin Ren, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110381-110381
Closed Access | Times Cited: 3
Gearbox Fault Diagnosis Based on MSCNN-LSTM-CBAM-SE
Chao He, Jarula Yasenjiang, Luhui Lv, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4682-4682
Open Access | Times Cited: 3
Novel Triplet Loss-Based Domain Generalization Network for Bearing Fault Diagnosis with Unseen Load Condition
Bingbing Shen, Min Zhang, Le Yao, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 882-882
Open Access | Times Cited: 2
Multi-domain Class-imbalance Generalization with Fault Relationship-induced Augmentation for Intelligent Fault Diagnosis
Chao Zhao, Enrico Zio, Weiming Shen
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis
Shucheng Zhang, Pei Jiang, Xiaobin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102756-102756
Closed Access | Times Cited: 2
Forecasting battery degradation trajectory under domain shift with domain generalization
Ruifeng Tan, Xibin Lu, Minhao Cheng, et al.
Energy storage materials (2024) Vol. 72, pp. 103725-103725
Open Access | Times Cited: 2
An Improved Industrial Fault Diagnosis Model by Integrating Enhanced Variational Mode Decomposition with Sparse Process Monitoring Method
Jiaxin Zhang, Gade Pandu Rangaiah, Lichun Dong, et al.
Reliability Engineering & System Safety (2024), pp. 110492-110492
Closed Access | Times Cited: 2
Transformer assisted by DSC and BiLSTM for bearing fault pattern recognition under strong noise interference
Yanli Yang, Huimin Zhou, Pan Wei-sheng
Nondestructive Testing And Evaluation (2024), pp. 1-23
Closed Access | Times Cited: 2
A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions
Chuanxia Jian, Heen Chen, Yinhui Ao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102878-102878
Closed Access | Times Cited: 2
Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition
Zisheng Wang, Jianping Xuan, Tielin Shi, et al.
Reliability Engineering & System Safety (2024), pp. 110638-110638
Closed Access | Times Cited: 2
Domain generalization for rotating machinery fault diagnosis: A survey
Yiming Xiao, Haidong Shao, Shen Yan, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103063-103063
Closed Access | Times Cited: 2
Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions
Xuewu Pei, Liang Gao, Xinyu Li
Journal of Manufacturing Systems (2024) Vol. 75, pp. 213-227
Closed Access | Times Cited: 1
A hybrid dynamic adversarial domain adaptation network with multi-channel attention mechanism for rotating machinery unsupervised fault diagnosis under varying operating conditions
Hangbo Duan, Zongyan Cai, Yuanbo Xu
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 21, pp. 10566-10577
Closed Access | Times Cited: 1
DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data
Y. G. Li, Ying Zhu, Yang Yu, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124944-124944
Closed Access | Times Cited: 1
Lightweight Network Bearing Intelligent Fault Diagnosis Based on VMD-FK-ShuffleNetV2
Wanlu Jiang, Zhiqian Qi, Anqi Jiang, et al.
Machines (2024) Vol. 12, Iss. 9, pp. 608-608
Open Access | Times Cited: 1
A multi-source unsupervised fault diagnosis network with residual enhancement attention module for rotating machinery cross-operating conditions
Hangbo Duan, Zongyan Cai, Qingtao Liu, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration
Jie Shang, Danyang Xu, Haobo Qiu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111924-111924
Closed Access | Times Cited: 1
Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions
Xuegang Li, Jian Tang, Yuanyue Pu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109380-109380
Closed Access | Times Cited: 1
Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation
Qing Zhang, Shaochen Li, Tan Chin-Hon, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110568-110568
Closed Access | Times Cited: 1
Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization
Mehdi Saman Azari, Stefania Santini, Farid Edrisi, et al.
Reliability Engineering & System Safety (2024), pp. 110560-110560
Open Access | Times Cited: 1
A noise-enhanced machine fault diagnosis method with multi-channel information fusion
Tao Li, Zijian Qiao, Chongyang Xie, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-21
Closed Access | Times Cited: 1
A fault diagnosis framework using unlabeled data based on automatic clustering with meta-learning
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109584-109584
Closed Access | Times Cited: 1

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