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:

Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
He Tian, Huaicong Fan, Mingwen Feng, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6508-6508
Open Access | Times Cited: 21

Showing 21 citing articles:

Intelligent Fault Diagnosis of Rolling Bearing Based on Gramian Angular Difference Field and Improved Dual Attention Residual Network
Anshi Tong, Jun Zhang, Liyang Xie
Sensors (2024) Vol. 24, Iss. 7, pp. 2156-2156
Open Access | Times Cited: 14
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
Deep Learning-Enhanced Small-Sample Bearing Fault Analysis Using Q-Transform and HOG Image Features in a GRU-XAI Framework
Vipul Dave, Himanshu Borade, Hitesh Agrawal, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 373-373
Open Access | Times Cited: 6
A strong anti-noise and easily deployable bearing fault diagnosis model based on time–frequency dual-channel Transformer
Zhao Xu, Zhiyang Jia, YiWei Wei, et al.
Measurement (2024) Vol. 236, pp. 115054-115054
Closed Access | Times Cited: 6
Enhanced Fault Detection in Bearings Using Machine Learning and Raw Accelerometer Data: A Case Study Using the Case Western Reserve University Dataset
Krish Kumar Raj, Shahil Kumar, Rahul Kumar, et al.
Information (2024) Vol. 15, Iss. 5, pp. 259-259
Open Access | Times Cited: 5
Deep learning neural networks with input processing for vibration-based bearing fault diagnosis under imbalanced data conditions
J. Prawin
Structural Health Monitoring (2024)
Closed Access | Times Cited: 5
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Advanced fault diagnostics in rotating machinery: A deep learning approach using octave theory of dynamic vibration signals
Dawei Zhang, Shuai Shao, Xuan Zhao, et al.
Journal of Vibration and Control (2025)
Closed Access
Fault diagnosis method for rolling bearings with small samples based on DCGAN and improved swin transformer
Luhui Lv, Yasenjiang Jiarula, Debo Wang, et al.
Journal of Physics Conference Series (2025) Vol. 2954, Iss. 1, pp. 012113-012113
Open Access
Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis Model Based on Improved Dung Beetle Optimizer Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Lubricants (2024) Vol. 12, Iss. 7, pp. 239-239
Open Access | Times Cited: 4
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Wenchao Jia, Aijun An, Bin Gong, et al.
Expert Systems with Applications (2025), pp. 127267-127267
Closed Access
An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios
Jianqiao Li, Zhihao Huang, Liang Jiang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed Access | Times Cited: 3
Real-Time Monitoring of Wind Turbine Bearing Using Simple Neural Network on Raspberry Pi
T. S. Wang, Hongying Meng, Rui Qin, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3129-3129
Open Access | Times Cited: 2
Hybrid fault diagnostics and prognostics system development for motor bearings health monitoring
Muhammad Asim Abbasi, Shiping Huang, Aadil Sarwar Khan
Quality Engineering (2024), pp. 1-16
Closed Access | Times Cited: 2
Optimization of VMD-CNN-BiLSTM Rolling Bearing Fault Diagnosis Model Based on Improved DBO Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Research Square (Research Square) (2024)
Open Access
Bearing Dynamics Modeling Based on the Virtual State-Space and Hammerstein–Wiener Model
Genghong Jiang, Kai Zhou, Zhaorong Li, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5410-5410
Open Access
Development of compact smart bearing and novel hybrid feature assessment for weak defect identification
Yu Xiao, Di Song, Nan Wu
Nondestructive Testing And Evaluation (2024), pp. 1-27
Closed Access
Diagnostics and prognostics system design integrating hybrid Siamese and model-driven learning
Muhammad Asim Abbasi, Shiping Huang, Aadil Sarwar Khan
Transactions of the Institute of Measurement and Control (2024)
Closed Access
Research on an Improved Auxiliary Classifier Wasserstein Generative Adversarial Network with Gradient Penalty Fault Diagnosis Method for Tilting Pad Bearing of Rotating Equipment
Chunlei Zhou, Qingfeng Wang, Yang Xiao, et al.
Lubricants (2023) Vol. 11, Iss. 10, pp. 423-423
Open Access | Times Cited: 1
Cross working condition bearing fault diagnosis based on the combination of multimodal network and entropy conditional domain adversarial network
Yuanpeng Feng, Peng Liu, Yixian Du, et al.
Journal of Vibration and Control (2023) Vol. 30, Iss. 23-24, pp. 5375-5386
Closed Access | Times Cited: 1
Page 1

Scroll to top