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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:

Multiscale dilated convolutional subdomain adaptation network with attention for unsupervised fault diagnosis of rotating machinery cross operating conditions
Yiming Xiao, Haidong Shao, Zhishan Min, et al.
Measurement (2022) Vol. 204, pp. 112146-112146
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network
Xingkai Chen, Haidong Shao, Yiming Xiao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110427-110427
Open Access | Times Cited: 149
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer
Yiming Xiao, Haidong Shao, Minjie Feng, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 186-201
Open Access | Times Cited: 108
Bayesian variational transformer: A generalizable model for rotating machinery fault diagnosis
Yiming Xiao, Haidong Shao, Jie Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110936-110936
Open Access | Times Cited: 103
BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT
Yiming Xiao, Haidong Shao, Lin Jian, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14241-14252
Closed Access | Times Cited: 33
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning
Yutong Dong, Hongkai Jiang, Renhe Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109805-109805
Closed Access | Times Cited: 28
Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model With Multiscale Features
Zong Meng, Cheng Luo, Jimeng Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13236-13247
Closed Access | Times Cited: 21
ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102610-102610
Closed Access | Times Cited: 10
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Junwei Hu, Weigang Li, Ailong Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110958-110958
Closed Access | Times Cited: 19
Domain-specific adaptation network for inverter fault diagnosis: Knowledge transfer from simulation to physical domain
Qun Guo, Gang Li, Jun Lin
Measurement (2024) Vol. 227, pp. 114299-114299
Closed Access | Times Cited: 5
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains
Yiming Xiao, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2024), pp. 125345-125345
Closed Access | Times Cited: 3
Novel imbalanced subdomain adaption multiscale convolutional network for cross-domain unsupervised fault diagnosis of rolling bearings
Tianlong Huo, Linfeng Deng, Bo Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015905-015905
Closed Access | Times Cited: 9
Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
B. Zhang, Tianlong Huo, Zheng Liu, et al.
IEEE Access (2024) Vol. 12, pp. 42068-42082
Open Access | Times Cited: 3
Innovative integration of multi-scale residual networks and MK-MMD for enhanced feature representation in fault diagnosis
Xueyi Li, Peng Yuan, Kaiyu Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086108-086108
Closed Access | Times Cited: 3
Unsupervised transfer autoencoder model based on adversarial strategy for non-linear process monitoring
Xu Yang, Jieshi Xiao, Jian Huang, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105880-105880
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
Mechanistic block‐based attention mechanism stacked autoencoder for describing typical unit connection industrial processes and their monitoring
Chenhao Wang, Xujia Tang, Jianbo Yu, et al.
The Canadian Journal of Chemical Engineering (2023) Vol. 102, Iss. 1, pp. 291-306
Closed Access | Times Cited: 6
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Fault diagnosis of rolling bearings based on dynamic convolution and dual-channel feature fusion under variable working conditions
Dechen Yao, Tao Zhou, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066110-066110
Closed Access | Times Cited: 1
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Yazhou Zhang, Xiaoqiang Zhao, Haopeng Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7716-7732
Closed Access | Times Cited: 1
Joint Domain Adaptation Based Lightweight Approach for Cross-domain Diagnosis Compatible with Different Devices and Multimodal Sensing
Xuan Li, Qitong Chen, Liang Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 28373-28382
Closed Access | Times Cited: 1
Fault Diagnosis of Centrifugal fan Bearings Based on I-CNN and JMMD in the Context of Sample Imbalance
Yang Gao, Xueyi Li
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 4
Open Access | Times Cited: 1
Macro- and micro-spacetime feature-preference gated recurrent unit for remaining useful life prediction of electric motor in multiple working conditions
Jiechen Sun, Funa Zhou, Xiong Hu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 7953-7968
Closed Access | Times Cited: 1
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data
Minjie Feng, Haidong Shao, Minghui Shao, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112628-112628
Closed Access | Times Cited: 1
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis
Xueyi Li, Peng Yuan, Jun Yu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Fault Diagnosis With Robustness and Lightweight Synergy Under Noisy Environment
Juan Tian, Gang Xie, Xiaohong Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16351-16362
Closed Access | Times Cited: 2
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