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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:

An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions
Zihao Lei, Guangrui Wen, Shuzhi Dong, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-14
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Rolling Element Fault Diagnosis Based on VMD and Sensitivity MCKD
Hongjiang Cui, Ying Guan, Huayue Chen
IEEE Access (2021) Vol. 9, pp. 120297-120308
Open Access | Times Cited: 135
Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions
Yiyao An, Ke Zhang, Yi Chai, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118802-118802
Closed Access | Times Cited: 105
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 49
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery
Ziling Huang, Zihao Lei, Guangrui Wen, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 6, pp. 6298-6307
Closed Access | Times Cited: 84
Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions
Chao Zhao, Weiming Shen
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108672-108672
Closed Access | Times Cited: 45
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis
Qiuyu Song, Xingxing Jiang, Shuang Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 40
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis
Zhenhua Fan, Qifa Xu, Cuixia Jiang, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108149-108149
Closed Access | Times Cited: 31
Bearing fault diagnosis based on inverted Mel-scale frequency cepstral coefficients and deformable convolution networks
Yunji Zhao, Baofu Qin, Yuhang Zhou, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055404-055404
Closed Access | Times Cited: 17
Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method
Yiyao An, Ke Zhang, Yi Chai, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 25
Fault diagnosis method of rotating bearing based on improved ensemble empirical mode decomposition and deep belief network
Cheng Zhong, Jie-Sheng Wang, Weizhen Sun
Measurement Science and Technology (2022) Vol. 33, Iss. 8, pp. 085109-085109
Closed Access | Times Cited: 22
Fuzzy Bayesian Network Fault Diagnosis Method Based on Fault Tree for Coal Mine Drainage System
Xiaojuan Shi, Huabei Gu, Bing Yao
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 7537-7547
Closed Access | Times Cited: 4
Frequency-assisted Contrastive Learning with Cyclic Fine-tuning for Rotating Machinery Fault Diagnosis under Limited Labeled Data
Xinyu Li, Changming Cheng, Zhike Peng
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access
Health indicator construction and status assessment of rotating machinery by spatio-temporal fusion of multi-domain mixed features
Yong Duan, Xiangang Cao, Jiangbin Zhao, et al.
Measurement (2022) Vol. 205, pp. 112170-112170
Closed Access | Times Cited: 19
A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery
Zhaohua Liu, Liang Chen, Hua‐Liang Wei, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108968-108968
Open Access | Times Cited: 19
An Intelligent Fault Diagnosis Scheme for Rotating Machinery Based on Supervised Domain Adaptation With Manifold Embedding
Xiao Yu, Fei Dong, Bing Xia, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 953-972
Closed Access | Times Cited: 19
A Novel Multiscale Lightweight Fault Diagnosis Model Based on the Idea of Adversarial Learning
Ping Zhang, Guangrui Wen, Shuzhi Dong, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-15
Closed Access | Times Cited: 22
Transfer learning method for rolling bearing fault diagnosis under different working conditions based on CycleGAN
Jiantong Zhao, Wentao Huang
Measurement Science and Technology (2021) Vol. 33, Iss. 2, pp. 025003-025003
Closed Access | Times Cited: 20
Siamese multiscale residual feature fusion network for aero-engine bearing fault diagnosis under small-sample condition
Zhaoguo Hou, Huawei Wang, Shaolan Lv, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035109-035109
Closed Access | Times Cited: 15
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
An Automatic Parameter Setting Variational Mode Decomposition Method for Vibration Signals
Aina Wang, Pan Qin, Xi‐Ming Sun, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2053-2062
Closed Access | Times Cited: 8
A Novel Clustering Based on Consensus Knowledge for Cross-Domain Fault Diagnoses
Zhengwei Xu, Guangjie Han, Chuanliang Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
A Spatiotemporal Fusion Autoencoder-Based Health Indicator Automatic Construction Method for Rotating Machinery Considering Vibration Signal Expression
Yong Duan, Xiangang Cao, Jiangbin Zhao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24822-24838
Closed Access | Times Cited: 7
Vibration feature extraction and fault detection method for transmission towers
Long Zhao, Zhicheng Liu, Peng Yuan, et al.
IET Science Measurement & Technology (2024) Vol. 18, Iss. 5, pp. 203-218
Open Access | Times Cited: 2
Unsupervised construction of health indicator for rotating machinery via multi-criterion feature selection and attentive variational autoencoder
Xinyu Li, Changming Cheng, Zhike Peng
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1524-1537
Closed Access | Times Cited: 2
Unsupervised graph transfer network with hybrid attention mechanisms for fault diagnosis under variable operating conditions
Zihao Lei, Feiyu Tian, Yu Su, et al.
Reliability Engineering & System Safety (2024), pp. 110684-110684
Closed Access | Times Cited: 2
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