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:

Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis
Dongdong Wang, Yining Dong, Han Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14499-14511
Closed Access | Times Cited: 21

Showing 21 citing articles:

Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Research on roller bearing fault diagnosis based on robust smooth constrained matrix machine under imbalanced data
Haiyang Pan, Bingxin Li, Jinde Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102667-102667
Closed Access | Times Cited: 6
Hypergraph construction using Multi-Sensor for helicopter Tail-Drive system fault diagnosis
Aijun Yin, Zhaoyi Sun, Junlin Zhou
Measurement (2024) Vol. 231, pp. 114586-114586
Closed Access | Times Cited: 5
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
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance
Wenhao Lu, Wei Wang, Xuefei Qin, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2064-2064
Open Access | Times Cited: 2
Bearing fault detection system based on a deep diffusion model
Her‐Terng Yau, Ping‐Huan Kuo, S. Yu
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps
Dong-Yun Kim, Akeem Bayo Kareem, Daryl Domingo, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 60-60
Open Access | Times Cited: 1
Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models
Zeyu Jiang, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access | Times Cited: 1
Gradient-Oriented Prioritization in Meta-Learning for Enhanced Few-Shot Fault Diagnosis in Industrial Systems
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 181-181
Open Access | Times Cited: 3
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
A Bearing Fault Diagnosis Method Based on Vibration Signal Extension and Time-Frequency Information Fusion Network Under Small Sample Conditions
Zedong Ju, Yinsheng Chen, Jiahui Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27712-27727
Closed Access
Compressive-sensing reconstruction for satellite monitor data using a deep generative model
Zeyu Gu, Gang Tang, Jianwei Ma
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access
Vibration signals reconstruction with diffusion model for bearing fault diagnosis
Zeyu Gu, Jianwei Ma
Journal of Physics Conference Series (2024) Vol. 2762, Iss. 1, pp. 012056-012056
Open Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Zero-shot fault diagnosis of high-voltage circuit breakers: fusion of phase space reconstruction and attribute embedding methods
Qiuyu Yang, Yawen Liu, Yuyi Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116113-116113
Closed Access
Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals
Zhongze Liu, Yicong Kuang, Fei Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102833-102833
Closed Access
Laser ultrasonic reconstruction model for additive manufacturing based on compressed sensing theory
Shuping Wang, Haitao Wang, Xianming Yang, et al.
Measurement (2024), pp. 116349-116349
Closed Access
Disconnector Fault Diagnosis Based on Multi-Granularity Contrast Learning
Qian Xie, Haiyi Tang, Baize Liu, et al.
Processes (2023) Vol. 11, Iss. 10, pp. 2981-2981
Open Access | Times Cited: 1
Adaptive Dynamic Threshold Graph Neural Network: A Novel Deep Learning Framework for Cross-Condition Bearing Fault Diagnosis
Linjie Zheng, Yonghua Jiang, Hongkui Jiang, et al.
Machines (2023) Vol. 12, Iss. 1, pp. 18-18
Open Access | Times Cited: 1
Data Augmentation of Sensor Time Series using Time-varying Autoregressive Processes
Douglas Baptista de Souza, Bruno P. Leão
Annual Conference of the PHM Society (2023) Vol. 15, Iss. 1
Open Access
Page 1

Scroll to top