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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:

Weak Fault Feature Extraction Method of Rolling Bearings Based on MVO-MOMEDA Under Strong Noise Interference
Zhongliang Lv, Linhao Peng, Yujiang Cao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15732-15740
Closed Access | Times Cited: 16

Showing 16 citing articles:

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 10
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
SOC estimation for lithium-ion batteries based on BiGRU with SE attention and Savitzky-Golay filter
Han Yan, Yang Liu, Qingqing Huang, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111930-111930
Closed Access | Times Cited: 4
Electrostatic Signal Self-Adaptive Denoising Method Combined with CEEMDAN and Wavelet Threshold
Yan Liu, Hongfu Zuo, Zhenzhen Liu, et al.
Aerospace (2024) Vol. 11, Iss. 6, pp. 491-491
Open Access | Times Cited: 2
A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA
Yi Kang, Changxin Cai, Wentao Tang, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8620-8620
Open Access | Times Cited: 5
Bearing Diagnosis Using an Anti-Noise Neural Network Based on Selectable Branch Multiscale Modules and Attention Mechanisms
Ankang Li, Dechen Yao, Jianwei Yang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 5, pp. 5830-5840
Closed Access | Times Cited: 5
Distribution Character-Guided Projection Replay Network for Class-Incremental Fault Diagnosis of Rotating Machinery
Zheng Zhou, Zuqiang Su, Weilong Jiang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13656-13665
Closed Access | Times Cited: 1
A survey on zeroing neural dynamics: models, theories, and applications
Linju Li, Lin Xiao, Zidong Wang, et al.
International Journal of Systems Science (2024), pp. 1-34
Closed Access | Times Cited: 1
SOC Estimation for Lithium-Ion Batteries Based on Bigru with Se Attention and Savitzky-Golay Filter
Han Yan, Yang Liu, Qingqing Huang, et al.
(2024)
Closed Access
Sparse Representation Based on MCKD and Periodic Dictionary for Bearing Fault Diagnosis
Zijian Guo, Hongzi Fei, Bingxin Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access
Adaptive mode decomposition method based on fault feature orientation and its application to compound fault diagnosis of planetary gearboxes
Hongkun Li, Shunxin Cao, Kongliang Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106104-106104
Closed Access
A novel adaptive blind deconvolution algorithm: application to feature extraction of weak faults in RV reducer gears
Yin Tang, Zhongliang Lv, Xiangyu Jia, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106203-106203
Closed Access
Phase-based video vibration measurement and fault feature extraction method for compound faults of rolling bearings
Cong Li, Jun Zhou, Xing Wu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102897-102897
Closed Access
An Original feature retention deconvolution algorithm and its application to bearing fault diagnosis
Lei Cheng, Gang Yang
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015052-015052
Closed Access
Interpretable Neural Networks for Mechanical Fault Diagnosis in Strong Noise Condition
Xinrui Jing, Ke Zhang, Huaxiang Pu, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 1239-1244
Closed Access
Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis
Qingwen Fan, Yuqi Liu, Jingyuan Yang, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 56-56
Open Access | Times Cited: 1
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