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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:

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: 53

Showing 1-25 of 53 citing articles:

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
FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis
Keyi Zhou, Keyi Zhou, Bin Jiang, et al.
Knowledge-Based Systems (2025), pp. 112982-112982
Closed Access | Times Cited: 2
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
Adaptive minimum noise amplitude deconvolution and its application for early fault diagnosis of rolling bearings
Xuyang Xie, Lei Zhang, Jintao Wang, et al.
Applied Acoustics (2024) Vol. 220, pp. 109962-109962
Closed Access | Times Cited: 7
Intelligent Fault Diagnosis of Bearings Driven by Double-level Data Fusion Based on Multichannel Sample Fusion and Feature Fusion under Time-Varying Speed Conditions
Zhongwei Zhang, Zonghao Jiao, Youjia Li, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110362-110362
Closed Access | Times Cited: 7
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
A Study on Reducing the Noise Using the Kalman Filter in Digital Holographic Microscopy (DHM)
Taishi Ono, Hyunwoo Kim, Myungjin Cho, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 338-338
Open Access
MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning
Guangyuan Xu, Ruifeng Guo, Zhenyu Yin, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 921-921
Open Access
Leveraging machine learning and clickstream data to improve student performance prediction in virtual learning environments
Zakaria Khoudi, Nasereddine Hafidi, Mourad Nachaoui, et al.
Information Discovery and Delivery (2025)
Closed Access
Automated Service Height Fault Detection Using Computer Vision and Machine Learning for Badminton Matches
Guo Liang Goh, Guo Dong Goh, Jing Wen Pan, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9759-9759
Open Access | Times Cited: 14
Gearbox faults severity classification using Poincaré plots of acoustic emission signals
Rubén Medina, René–Vinicio Sánchez, Diego Cabrera, et al.
Applied Acoustics (2024) Vol. 219, pp. 109918-109918
Open Access | Times Cited: 4
Integrated spectrogram construction method on multi-channel signals for loose particle localization
Zhigang Sun, Guofu Zhai, Min Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110023-110023
Closed Access
Source-free Progressive Domain Adaptation Network for Universal Cross-domain Fault Diagnosis of Industrial Equipment
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
IEEE Sensors Journal (2025) Vol. 25, Iss. 5, pp. 8067-8078
Closed Access
Wind Turbine Blade Fault Detection Method Based on TROA-SVM
Zhuo Lei, Haijun Lin, Xudong Tang, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 720-720
Open Access
KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112379-112379
Closed Access
New Approach to Enhancing Student Performance Prediction Using Machine Learning Techniques and Clickstream Data in Virtual Learning Environments
Zakaria Khoudi, Nasereddine Hafidi, Mourad Nachaoui, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Bearing Fault Diagnosis with Small Samples Based on Multi-scale Convolutional Kernels Attention Network
Yong Xu, Ruyi Huang, Shuai Xian, et al.
Communications in computer and information science (2025), pp. 67-77
Closed Access
The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Jie Zhou, Kehan Ge, Yiping Shen, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127162-127162
Closed Access
New Health Indicator Construction and Fault Detection Network for Rolling Bearings via Convolutional Auto-Encoder and Contrast Learning
Dongdong Wu, Da Chen, Gang Yu
Machines (2024) Vol. 12, Iss. 6, pp. 362-362
Open Access | Times Cited: 3
A new multi-layer adaptation cross-domain model for bearing fault diagnosis under different operating conditions
Huaiqian Bao, Lingtan Kong, Limei Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106116-106116
Closed Access | Times Cited: 3
Bearing Health State Detection Based on Informer and CNN + Swin Transformer
Chunyang Liu, Weiwei Zou, Zhilei Hu, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 456-456
Open Access | Times Cited: 3
BiVi-GAN: Bivariate Vibration GAN
H. Y. Jeong, SeongYeon Jeung, Hyunjun Lee, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1765-1765
Open Access | Times Cited: 2
Self-multivariate spectral decomposition and mode-fused envelope spectrum for enhancing bearing fault feature
Wanliang Zhang, Xin Wang, Can Sima, et al.
Digital Signal Processing (2024) Vol. 154, pp. 104656-104656
Closed Access | Times Cited: 2
Few-shot fault diagnosis for machinery using multi-scale perception multi-level feature fusion image quadrant entropy
Zhenya Wang, Liang Pan, Rengui Bai, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102972-102972
Closed Access | Times Cited: 2
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