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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 adaptive group sparse feature decomposition method in frequency domain for rolling bearing fault diagnosis
Kai Zheng, Dengke Yao, Yang Shi, et al.
ISA Transactions (2023) Vol. 138, pp. 562-581
Closed Access | Times Cited: 19

Showing 19 citing articles:

Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
Xianze Li, Hao Su, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110967-110967
Closed Access | Times Cited: 25
Improved Shift-Invariant Sparse Parsing of Mechanical Fault Based on Feature Atom
Changkun Han, Wei Lu, Lingli Cui, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 12
TSoft-Net: A novel transfer soft thresholding network based on self-attention for intelligent fault diagnosis of rotating machinery
Shihang Yu, Shanchen Pang, Limei Song, et al.
Measurement (2024) Vol. 227, pp. 114237-114237
Closed Access | Times Cited: 5
A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer
Jiajia Lv, Qiyang Xiao, Xiaodong Zhai, et al.
Applied Acoustics (2024) Vol. 224, pp. 110156-110156
Closed Access | Times Cited: 5
Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis
Quan Jiang, Xiaoshan Lin, Xingchi Lu, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111229-111229
Closed Access | Times Cited: 14
Multi-source domain adaptive network based on local kernelized higher-order moment matching for rotating machinery fault diagnosis
Ying Zhang, Jingjing Fan, Zong Meng, et al.
ISA Transactions (2024) Vol. 150, pp. 311-321
Closed Access | Times Cited: 5
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion
Jiangxun Liu, Zhu Duan, Hui Liu
Neural Networks (2024) Vol. 178, pp. 106400-106400
Closed Access | Times Cited: 4
Sliding time synchronous averaging based on independent extended autocorrelation function for feature extraction of bearing fault
Tao Liu, Laixing Li, Khandaker Noman, et al.
Measurement (2024) Vol. 236, pp. 115130-115130
Closed Access | Times Cited: 4
Fast sparse morphological decomposition with controllable sparsity for high-speed bearing fault diagnosis
Lei Jin, Shibin Wang, Jianghan Zhou, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112330-112330
Closed Access
Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions
Yuhui Xu, Yimin Jiang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112588-112588
Closed Access
Periodicity-assist double delay-controlled stochastic resonance for the fault detection of bearings
Haitao Xu, Shengxi Zhou
Measurement (2023) Vol. 225, pp. 114018-114018
Closed Access | Times Cited: 8
Improved Group Sparse Modal Decomposition Methods With Applications to Fault Diagnosis of Rotating Machinery
Yueyang Li, Jialian Wu, Gang Yu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8102-8114
Closed Access | Times Cited: 2
Maximum L-Kurtosis deconvolution and frequency-domain filtering algorithm for bearing fault diagnosis
Haitao Xu, Shengxi Zhou
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111916-111916
Closed Access | Times Cited: 2
A bearing fault diagnosis method for unknown operating conditions based on differentiated feature extraction
Wei Cao, Zong Meng, Jimeng Li, et al.
ISA Transactions (2024)
Closed Access | Times Cited: 2
Incipient Fault Feature Extraction of Rolling Bearing Based on Signal Reconstruction
Xu Lv, Fengxing Zhou, Bin Li, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3749-3749
Open Access | Times Cited: 3
Incipient fault feature extraction of rolling element bearings based on SOSO boosting technique and improved energy operator
Yan Wang, Jiabo Li, Penghui Bu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025012-025012
Closed Access | Times Cited: 3
Nonlinear Group Constrained Mode Decomposition and Its Application in Gear Fault Diagnosis
Qiuyan Yan, Xuan Liu, Mingjun Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116149-116149
Closed Access
A Novel Bearing Fault Diagnosis Method Based on Wcdcgan with Cbam Attention Mechanism
Sen Zhang, Shenqiang Yan, Hao Wei, et al.
(2024)
Closed Access
An Improved Shift-Invariant Sparse Bearing Fault Diagnosis Method Based on Feature Learning Base Atoms
Changkun Han, Wei Lü, Hongjie Zhang, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
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