Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering
Jingbao Hou, Yunxin Wu, Abdulrahaman Shuaibu Ahmad, et al.
IEEE Access (2021) Vol. 9, pp. 99756-99767
Open Access | Times Cited: 23

Showing 23 citing articles:

An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 45
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions
B. R. Nayana, R. Subha, Rekha Radhakrishnan, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Research on feature extraction method of ship radiated noise with K-nearest neighbor mutual information variational mode decomposition, neural network estimation time entropy and self-organizing map neural network
Guohui Li, Feng Liu, Hong Yang
Measurement (2022) Vol. 199, pp. 111446-111446
Closed Access | Times Cited: 26
Deep Residual Network Combined with Transfer Learning Based Fault Diagnosis for Rolling Bearing
Jianmin Zhou, Xiaotong Yang, Jiahui Li
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7810-7810
Open Access | Times Cited: 15
Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 45, Iss. 1
Closed Access | Times Cited: 13
Privacy-Preserving and Secure Industrial Big Data Analytics: A Survey and the Research Framework
Linbin Liu, June Li, Jianming Lv, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 18976-18999
Closed Access | Times Cited: 2
An imbalanced sample intelligent fault diagnosis method using data enhancement and improved broad learning system
Jiantao Lu, Rongqing Cui, Shunming Li
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075106-075106
Closed Access | Times Cited: 6
Rolling bearing fault diagnosis model based on DSCB-NFAM
Xiaoqiang Zhao, Haike Guo
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015029-015029
Closed Access | Times Cited: 5
Optimizing bearing health condition monitoring: exploring correlation feature selection algorithm
Anju Sharma, Taruv Harshita Priya, Vps Naidu
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025511-025511
Open Access | Times Cited: 1
Similarity indicator and CG-CGAN prediction model for remaining useful life of rolling bearings
Yang Liu, Binbin Dan, Cancan Yi, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086107-086107
Open Access | Times Cited: 1
Rolling Bearing Fault Feature Selection Method Based on a Clustering Hybrid Binary Cuckoo Search
Lijun Sun, Yan Xin, Tianfei Chen, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 459-459
Open Access | Times Cited: 4
A Hybrid Convolutional Neural Network and Relief-F Algorithm for Fault Power Line Recognition in Internet of Things-Based Smart Grids
Zhang Yuqing
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 6
A novel bearing fault diagnosis method with feature selection and manifold embedded domain adaptation
Songyu Yang, Xiaoxia Zheng
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 14, pp. 8185-8197
Closed Access | Times Cited: 5
On the Sparse Gradient Denoising Optimization of Neural Network Models for Rolling Bearing Fault Diagnosis Illustrated by a Ship Propulsion System
Shuangzhong Wang, Ying Zhang, Bin Zhang, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 10, pp. 1376-1376
Open Access | Times Cited: 5
A New Time Series Data Imaging Scheme for Mechanical Fault Diagnosis
Chao Lian, Yuliang Zhao, Tianang Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access
Detection, Prevention, and Monitoring Techniques for Industrial Equipment – a brief review
Ion-Stelian Gherghina, Nicu Bizon
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2024), pp. 1-14
Closed Access
Research on piston aeroengine fault diagnosis method with acoustic emission signal and rough set theory synergy
Xiaoyang Bi, Yinghui Sun, Yanhe Yang, et al.
Structural Health Monitoring (2024)
Closed Access
Acoustic emission-based intelligent identification of piston aero-engine ignition advance angle anomalies
Yanhe Yang, Xiaoyang Bi, Alamusi Lee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Fault diagnosis method for bogie bearings of high-speed trains based on weighted-sparse subspace clustering
Yang Tao, Jianqiang Liu, Shaoyong Chen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036106-036106
Closed Access
Numerical Model Driving Multi-Domain Information Transfer Method for Bearing Fault Diagnosis
Long Zhang, Hao Zhang, Qian Xiao, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9759-9759
Open Access
A Stacked Sparse Autoencoder Embedded Subspace Correlation Alignment Application to Fault Diagnosis of Rolling Bearings
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
SSRN Electronic Journal (2021)
Closed Access
Page 1

Scroll to top