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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:

Rolling Bearing Fault Severity Recognition via Data Mining Integrated With Convolutional Neural Network
Dongdong Liu, Lingli Cui, Weidong Cheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5768-5777
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 81
Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
Dongdong Liu, Lingli Cui, Huaqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29969-29990
Open Access | Times Cited: 54
Fault diagnosis of wind turbines under nonstationary conditions based on a novel tacho-less generalized demodulation
Dongdong Liu, Lingli Cui, Weidong Cheng
Renewable Energy (2023) Vol. 206, pp. 645-657
Closed Access | Times Cited: 33
Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
Gang Wang, Dongdong Liu, Lingli Cui
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1270-1279
Closed Access | Times Cited: 24
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis
Ke Yue, Jipu Li, Zhuyun Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13
Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery
Dongdong Liu, Lingli Cui, Gang Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 13
Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data
Xuan Liu, Jinglong Chen, Kaiyu Zhang, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109272-109272
Closed Access | Times Cited: 28
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data
Yipeng Xue, Chuanbo Wen, Zidong Wang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111205-111205
Closed Access | Times Cited: 20
Remaining useful life prediction of Wind Turbine Main-Bearing Based on LSTM Optimized Network
linli li, Qifei Jian
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21143-21156
Closed Access | Times Cited: 5
Attention activation network for bearing fault diagnosis under various noise environments
Yu Zhang, Lianlei Lin, Junkai Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis
Ke Yue, Jipu Li, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
A novel hierarchical transferable network for rolling bearing fault diagnosis under variable working conditions
Chaoyang Weng, Baochun Lu, Qian Gu, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 12, pp. 11315-11334
Closed Access | Times Cited: 15
Rotating machinery fault diagnosis based on optimized Hilbert curve images and a novel bi-channel CNN with attention mechanism
Kun Sun, Dongdong Liu, Lingli Cui
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125022-125022
Closed Access | Times Cited: 15
Rolling Bearing Fault Feature Extraction Method Using Adaptive Maximum Cyclostationarity Blind Deconvolution
Renxiang Chen, Yu Huang, Xiangyang Xu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17761-17770
Closed Access | Times Cited: 14
Multiscale Dynamic Weight Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery
Wenliao Du, Lingkai Yang, Xiaoyun Gong, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access
LN-MRSCAE: A novel deep learning based denoising method for mechanical vibration signals
Wenliao Du, Lingkai Yang, Hongchao Wang, et al.
Journal of Vibration and Control (2023) Vol. 30, Iss. 3-4, pp. 459-471
Closed Access | Times Cited: 10
A Novel Periodic Cyclic Sparse Network With Entire Domain Adaptation for Deep Transfer Fault Diagnosis of Rolling Bearing
Xing Zhan, Cai Yi, Jianhui Lin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13452-13468
Closed Access | Times Cited: 9
Detection of Simultaneous Bearing Faults Fusing Cross Correlation With Multikernel SVM
Anadi Biswas, Susanta Ray, Debangshu Dey, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14418-14427
Closed Access | Times Cited: 9
Correlation analysis based relevant variable selection for wind turbine condition monitoring and fault diagnosis
Huanying Han, Dongsheng Yang
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103439-103439
Closed Access | Times Cited: 9
Adaptive singular value decomposition for bearing fault diagnosis under strong noise interference
Lingli Cui, Yinhang Liu, Dezun Zhao
Measurement Science and Technology (2022) Vol. 33, Iss. 9, pp. 095002-095002
Closed Access | Times Cited: 14
A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis
Quanling Zhang, Ningze Tang, Xing Fu, et al.
Actuators (2023) Vol. 12, Iss. 5, pp. 188-188
Open Access | Times Cited: 8
An improved tracking method for bearing characteristic frequencies in the time-frequency representation of vibration signal
Bin Chen, Chang Qi, Zexuan Yun, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066118-066118
Closed Access | Times Cited: 2
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions
Dongdong Liu, Lingli Cui, Weidong Cheng
Structural Health Monitoring (2022) Vol. 22, Iss. 2, pp. 1421-1436
Closed Access | Times Cited: 9
Intelligent Bearing Fault Diagnosis Based on Multivariate Symmetrized Dot Pattern and LEG Transformer
Bin Pang, Jiaxun Liang, Han Liu, et al.
Machines (2022) Vol. 10, Iss. 7, pp. 550-550
Open Access | Times Cited: 9
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