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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:

A Mask Self-Supervised Learning-Based Transformer for Bearing Fault Diagnosis With Limited Labeled Samples
Jian Cen, Zhuohong Yang, Yinbo Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10359-10369
Closed Access | Times Cited: 19

Showing 19 citing articles:

Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery
Dongdong Liu, Lingli Cui, Gang Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 13
A Transformer-based self-supervised learning model for fault diagnosis of air-conditioning systems with limited labeled data
Hua Mei, Ke Yan, Xin Li
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110331-110331
Closed Access
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Jichao Zhuang, Jianhai Yan, Cheng‐Geng Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107539-107539
Closed Access | Times Cited: 12
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Y. Zhou, Amir Barati Farimani
IEEE Access (2024) Vol. 12, pp. 70719-70728
Open Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Masked graph autoencoder-based multi-agent dynamic relational inference model for trajectory prediction
Fuyuan Zhao, Xiangang Cao, Jiangbin Zhao, et al.
Neurocomputing (2025), pp. 129922-129922
Closed Access
A progressive multi-source domain adaptation method for bearing fault diagnosis
Xiaorong Zheng, Zhiwei He, Jiahao Nie, et al.
Applied Acoustics (2023) Vol. 216, pp. 109797-109797
Closed Access | Times Cited: 11
Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals
Hosameldin Ahmed, Asoke K. Nandi
Machines (2023) Vol. 11, Iss. 7, pp. 746-746
Open Access | Times Cited: 10
Multiple Dynamic Impact Signal Identification Method Based on Lightweight Neural Network With Acceleration Sensor
Xiang Ma, Huifa Shi, Xuyi Miao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17289-17300
Closed Access | Times Cited: 6
Fault diagnosis of gas turbine generator bearings using enhanced valuable sample strategy and convolutional neural network
Xiaozhuo Xu, Zhiyuan Li, Yunji Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015021-015021
Closed Access | Times Cited: 6
A lightweight high-impact acceleration state reconstruction method for multibody dynamic systems by an extended Kalman filter-aided time neural network
Xiang Ma, Shuran Zhang, Tong Tang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 31524-31537
Closed Access | Times Cited: 1
An Intelligent Compound Fault Diagnosis Method Using Generalized Zero-shot Model of Bearing
Jian Cen, Bichuang Zhao, Xi Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096134-096134
Closed Access
An Unsupervised Framework Based on Dual-Domain Contrastive Learning and Tri-indicator Joint Alarm Strategy for Early Fault Detection of Bearing
Shufan Chen, Rui Hu, Tiantian Jiang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26889-26901
Closed Access
Real-Time Monitoring of Illegal Logging Events Using Intelligent Acoustic Sensors Nodes
Vivek Singh, Kailash Chandra Ray, Somanath Tripathy
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 28276-28286
Closed Access
Fast-Activated Minimal Gated Unit: Lightweight Processing and Feature Recognition for Multiple Mechanical Impact Signals
Wenrui Wang, Donghyun Han, Xinyi Duan, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5245-5245
Open Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformer based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e38993-e38993
Open Access
A Lightweight and Rapidly Converging Transformer Based on Separable Linear Self-Attention for Fault Diagnosis
K. Yin, Chunjun Chen, Qi Shen, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 0161b4-0161b4
Closed Access
Fault Diagnosis of Gear Based on Multichannel Feature Fusion and DropKey-Vision Transformer
Na Yang, Jie Liu, Weiqiang Zhao, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 4, pp. 4758-4770
Closed Access | Times Cited: 1
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Zhou, Amir Barati Farimani
arXiv (Cornell University) (2023)
Open Access
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