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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 novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains
Ke Zhao, Feng Jia, Haidong Shao
Knowledge-Based Systems (2022) Vol. 262, pp. 110203-110203
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102027-102027
Closed Access | Times Cited: 98
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 93
Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
Cheena Mohanty, Sakuntala Mahapatra, Biswaranjan Acharya, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5726-5726
Open Access | Times Cited: 60
A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
Tianyu Gao, Jingli Yang, Qing Tang
Information Fusion (2024) Vol. 106, pp. 102278-102278
Closed Access | Times Cited: 46
A Novel Noise-Aided Fault Feature Extraction Using Stochastic Resonance in a Nonlinear System and Its Application
Jianhua Yang, Zhile Wang, Yu Guo, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11856-11866
Closed Access | Times Cited: 23
Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains
Ke Zhao, Zhenbao Liu, Jia Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111258-111258
Closed Access | Times Cited: 17
An interpretable waveform segmentation model for bearing fault diagnosis
Hao Li, Jing Lin, Zongyang Liu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102480-102480
Closed Access | Times Cited: 16
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123008-123008
Closed Access | Times Cited: 28
Enhancing Ransomware Attack Detection Using Transfer Learning and Deep Learning Ensemble Models on Cloud-Encrypted Data
Amardeep Singh, Zohaib Mushtaq, Hamad Ali Abosaq, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3899-3899
Open Access | Times Cited: 24
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
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23110-23122
Closed Access | Times Cited: 7
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111255-111255
Closed Access | Times Cited: 16
An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment
Zisheng Wang, Jianping Xuan, Tielin Shi
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111596-111596
Closed Access | Times Cited: 6
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123859-123859
Closed Access | Times Cited: 5
Multi-source domain adaptive network based on local kernelized higher-order moment matching for rotating machinery fault diagnosis
Ying Zhang, Jingjing Fan, Zong Meng, et al.
ISA Transactions (2024) Vol. 150, pp. 311-321
Closed Access | Times Cited: 5
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
Dynamic branch layer fusion: A new continual learning method for rotating machinery fault diagnosis
Changqing Shen, Zhenzhong He, Bojian Chen, et al.
Knowledge-Based Systems (2025), pp. 113177-113177
Closed Access
Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants
John A. Snoap, Dimitrie C. Popescu, James A. Latshaw, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5735-5735
Open Access | Times Cited: 12
Efficient cross-information fusion decoder for semantic segmentation
Songyang Zhang, Ge Ren, Xiaoxi Zeng, et al.
Computer Vision and Image Understanding (2024) Vol. 240, pp. 103918-103918
Closed Access | Times Cited: 4
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
Cailu Pan, Zhiwu Shang, Wanxiang Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108625-108625
Closed Access | Times Cited: 4
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
Closed Access | Times Cited: 4
Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines
Xuefang Xu, Xu Yang, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions
Jianjie Liu, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103119-103119
Closed Access
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