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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 diagnosis based on SSA optimized self-adaptive DBN
Shuzhi Gao, Lintao Xu, Yimin Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 485-502
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 88
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 67
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter
Haihong Tang, Yanmin Tang, Yuxiang Su, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107138-107138
Closed Access | Times Cited: 55
Machine Fault Diagnosis through Vibration Analysis: Continuous Wavelet Transform with Complex Morlet Wavelet and Time–Frequency RGB Image Recognition via Convolutional Neural Network
Dominik Łuczak
Electronics (2024) Vol. 13, Iss. 2, pp. 452-452
Open Access | Times Cited: 21
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 57
Intelligent Fault Diagnosis of Rotating Machines Based on Wavelet Time-Frequency Diagram and Optimized Stacked Denoising Auto-Encoder
Ning Jia, Yao Cheng, Yunyang Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 17, pp. 17139-17150
Closed Access | Times Cited: 44
Bearing fault diagnosis under various conditions using an incremental learning-based multi-task shared classifier
Pengcheng Wang, Hui Xiong, Haoxiang He
Knowledge-Based Systems (2023) Vol. 266, pp. 110395-110395
Closed Access | Times Cited: 35
Early bearing fault diagnosis for imbalanced data in offshore wind turbine using improved deep learning based on scaled minimum unscented kalman filter
Haihong Tang, Kun Zhang, Bing Wang, et al.
Ocean Engineering (2024) Vol. 300, pp. 117392-117392
Closed Access | Times Cited: 12
An Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis
Yunjin Hu, Qingsheng Xie, Xudong Yang, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 224-224
Open Access | Times Cited: 1
Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis
Suchao Xie, Yaxin Li, Hongchuang Tan, et al.
International Journal of Mechanical Sciences (2022) Vol. 235, pp. 107708-107708
Closed Access | Times Cited: 36
A graph neural network-based bearing fault detection method
Xiaoxia Lü, Xiaoxin Yang, Xiaodong Yang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
A Study of Optimization in Deep Neural Networks for Regression
Chieh-Huang Chen, Jung-Pin Lai, Yu-Ming Chang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 16
A gray texture image data-driven intelligent fault diagnosis method of induction motor rotor-bearing system under variable load conditions
Hongwei Fan, Zhongfu Ren, Xuhui Zhang, et al.
Measurement (2024) Vol. 233, pp. 114742-114742
Closed Access | Times Cited: 7
Optimization of Deep Belief Network Based on Sparrow Search Algorithm for Rolling Bearing Fault Diagnosis
Donghao Xu, Cheng Li
IEEE Access (2024) Vol. 12, pp. 10470-10481
Open Access | Times Cited: 6
A Novel Hierarchical Vision Transformer and Wavelet Time–Frequency Based on Multi-Source Information Fusion for Intelligent Fault Diagnosis
Changfen Gong, Rongrong Peng
Sensors (2024) Vol. 24, Iss. 6, pp. 1799-1799
Open Access | Times Cited: 6
Data-Driven Machine Fault Diagnosis of Multisensor Vibration Data Using Synchrosqueezed Transform and Time-Frequency Image Recognition with Convolutional Neural Network
Dominik Łuczak
Electronics (2024) Vol. 13, Iss. 12, pp. 2411-2411
Open Access | Times Cited: 6
A Survey on Fault Diagnosis of Rotating Machinery Based on Machine Learning
Qi Wang, Rui Huang, Jianbin Xiong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 102001-102001
Closed Access | Times Cited: 6
Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Jawaid I. Inayat-Hussain, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5793-5793
Open Access | Times Cited: 26
Rolling Bearing Fault Diagnosis Based on Time-Frequency Feature Extraction and IBA-SVM
Mei Zhang, Jun Yin, Wanli Chen
IEEE Access (2022) Vol. 10, pp. 85641-85654
Closed Access | Times Cited: 22
Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity
Dominik Łuczak, Stefan Brock, Krzysztof Siembab
Sensors (2023) Vol. 23, Iss. 7, pp. 3755-3755
Open Access | Times Cited: 13
Point and interval prediction of the effective length of hot-rolled plates based on IBES-XGBoost
Zishuo Dong, Xu Li, Feng Luan, et al.
Measurement (2023) Vol. 214, pp. 112857-112857
Closed Access | Times Cited: 13
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Shilong Sun, Hao Ding, Zida Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102579-102579
Closed Access | Times Cited: 5
Intelligent Diagnosis of Dual-Channel Parallel Rolling Bearings Based on Feature Fusion
Haike Guo, Xiaoqiang Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10640-10655
Closed Access | Times Cited: 4
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