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:

Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples
Linlin Xue, Chunli Lei, Mengxuan Jiao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 10206-10214
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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
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
Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval
Lixiao Cao, Jie Zhang, Qian Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102676-102676
Closed Access | Times Cited: 3
A Bearing Fault Diagnosis Method under Small Sample Conditions Based on the Fractional Order Siamese Deep Residual Shrinkage Network
Tao Li, Xiaoting Wu, Zhuhui Luo, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 134-134
Open Access | Times Cited: 2
Early-stage electrical fault identification for traction transformers using vibration signals based on dual-attention convolutional network
Jingjian Yang, Gang Zhang, Zhongbei Tian, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 471-483
Closed Access | Times Cited: 2
Rolling bearing fault diagnosis method based on multi-information fusion characteristics under complex working conditions
Xiaoyan Duan, Linlin Xue, Chunli Lei, et al.
Applied Acoustics (2023) Vol. 214, pp. 109685-109685
Closed Access | Times Cited: 6
High-Resistance Connection Fault Diagnosis of SRM Based on Multisensor Calibrated Transformer With Shifted Windows
Linghan Zhang, Juncai Song, Xiaoxian Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30971-30983
Closed Access | Times Cited: 6
LAFICNN: A Novel Convolutional Adaptive Fusion Framework for Fault Diagnosis of Rotating Machinery
Tianzhuang Yu, Zhaohui Ren, Yongchao Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 1
Gear fault diagnosis based on small channel convolutional neural network under multiscale fusion attention mechanism
Xuejiao Du, Bowen Liu, Jingbo Gai, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 8, pp. 4147-4165
Open Access | Times Cited: 1
Multimodal fusion fault diagnosis method under noise interference
Zhi Qiu, Shanfei Fan, Haibo Liang, et al.
Applied Acoustics (2024) Vol. 228, pp. 110301-110301
Closed Access | Times Cited: 1
A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring
Zhe Li, Kexin Liu, Xudong Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 4
Joint Semitensor Compressive Sensing With Multiscale Pyramidal Residual Network for Rolling Bearing Fault Diagnosis
Menglong Li, Zongyan Wang, Yuting Zhang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 1, pp. 184-194
Closed Access | Times Cited: 4
Fault Diagnosis Method for Human Coexistence Robots Based on Convolutional Neural Networks Using Time-Series Data Generation and Image Encoding
Seung-Hwan Choi, Jun-Kyu Park, Dawn An, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9753-9753
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
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformers Based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed Khan, Muhammad Usman Akram, Muazzam A. Khan, et al.
(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
SeqAttention-Net: Design of a Deep Neural Network for Bearing Fault Detection Based on Small Sample Datasets
Haifeng Fan, Chengliang Huang, Chao Ren
Lecture notes in computer science (2024), pp. 107-118
Closed Access
A Cooperative Convolutional Neural Network Framework for Multisensor Fault Diagnosis of Rotating Machinery
Tianzhuang Yu, Zeyu Jiang, Zhaohui Ren, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 22, pp. 38309-38317
Closed Access
Bearing fault diagnosis based on novel hierarchical multiscale dispersion entropy in corresponding color block images
Zihan Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045523-045523
Closed 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 convolutional multisensor fusion fault diagnosis framework based on multidimensional distance matrix for rotating machinery
Tianzhuang Yu, Zeyu Jiang, Zhaohui Ren, et al.
Structural Health Monitoring (2024)
Closed Access
Rolling bearing fault diagnosis method based on gramian angular difference field and dynamic self-calibrated convolution module
Chunli Liu, Jiarui Bai, Linlin Xue, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314898-e0314898
Open Access
Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing
Huanbai Liu, Fanlong Zhang, Yin Tan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086138-086138
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
Few-Shot Fault Diagnosis of Rolling Bearings Based on Multidimensional Global Attention Siamese Network
Shilong Fang, Haojie Chen, Yongyi Chen, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-6
Closed Access
Page 1 - Next Page

Scroll to top