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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:

A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case
Xin Li, Jian Cheng, Haidong Shao, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5180-5189
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images
Xin Li, Haidong Shao, Siliang Lu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 12, pp. 7328-7340
Closed Access | Times Cited: 165
Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples
Mingzhi Chen, Haidong Shao, Haoxuan Dou, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 3, pp. 1029-1037
Open Access | Times Cited: 129
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 89
Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 84
Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data
Chao Yang, Baoping Cai, Qibing Wu, et al.
Journal of Industrial Information Integration (2023) Vol. 33, pp. 100469-100469
Closed Access | Times Cited: 78
Thermographic Fault Diagnosis of Shaft of BLDC Motor
Adam Głowacz
Sensors (2022) Vol. 22, Iss. 21, pp. 8537-8537
Open Access | Times Cited: 77
Non-parallel bounded support matrix machine and its application in roller bearing fault diagnosis
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
Information Sciences (2023) Vol. 624, pp. 395-415
Closed Access | Times Cited: 57
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
Dingyi Sun, Yongbo Li, Sixiang Jia, et al.
Information Fusion (2023) Vol. 94, pp. 112-125
Closed Access | Times Cited: 43
A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels
Xiaoming Yuan, Zhikang Zhang, Pengfei Liang, et al.
Applied Acoustics (2024) Vol. 219, pp. 109940-109940
Closed Access | Times Cited: 18
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings
Yifei Ding, Minping Jia
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 64
Research on a remaining useful life prediction method for degradation angle identification two-stage degradation process
Zhijian Wang, Yuntian Ta, Wenan Cai, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109747-109747
Closed Access | Times Cited: 52
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications
Taotao Zhou, Laibin Zhang, Te Han, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108865-108865
Open Access | Times Cited: 44
Fault Diagnosis Method Based on Two-Stage GAN for Data Imbalance
Wei Luo, Wei Yang, Jialong He, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 22, pp. 21961-21973
Closed Access | Times Cited: 44
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101648-101648
Closed Access | Times Cited: 42
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102088-102088
Closed Access | Times Cited: 30
A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 854-863
Closed Access | Times Cited: 23
Deep signal separation for adaptive estimation of instantaneous phase from vibration signals
Yi Wang, Jiakai Ding, Haoran Sun, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123187-123187
Closed Access | Times Cited: 12
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis
Dingyi Sun, Yongbo Li, Zheng Liu, et al.
Information Fusion (2024) Vol. 108, pp. 102394-102394
Closed Access | Times Cited: 12
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
A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data
Ke Zhao, Hongkai Jiang, Chaoqiang Liu, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107892-107892
Closed Access | Times Cited: 43
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
Xin Li, Yong Li, Ke Yan, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108921-108921
Closed Access | Times Cited: 38
Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
Ningning Yang, Zhijian Wang, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108867-108867
Closed Access | Times Cited: 32
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation
Yifei Ding, Minping Jia, Jichao Zhuang, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109271-109271
Closed Access | Times Cited: 30
Deep Coupled Visual Perceptual Networks for Motor Fault Diagnosis Under Nonstationary Conditions
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 4840-4850
Closed Access | Times Cited: 30
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis
Dawei Gao, Kai Huang, Yongsheng Zhu, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109746-109746
Closed Access | Times Cited: 20
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