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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:

Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model With Multiscale Features
Zong Meng, Cheng Luo, Jimeng Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13236-13247
Closed Access | Times Cited: 21

Showing 21 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
Lightweight rotating machinery fault diagnosis based on quadratic convolutional neural network and evidence fusion of multi-source sensor information
Shanshan Wang, W. Y. Han, Hao Zhang, et al.
Journal of Instrumentation (2025) Vol. 20, Iss. 02, pp. P02019-P02019
Closed Access
Rolling bearing fault diagnosis method based on MTF-MFACNN
Chunli Lei, Chengxiang Miao, Huiyuan Wan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035007-035007
Closed Access | Times Cited: 7
Application of Salp Swarm Algorithm and Extended Repository Feature Selection Method in Bearing Fault Diagnosis
Chun‐Yao Lee, Truong‐An Le, Yung-Chi Chen, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1718-1718
Open Access | Times Cited: 2
YOLO-SLD: An Attention Mechanism-Improved YOLO for License Plate Detection
Ming‐An Chung, Yu‐Jou Lin, Chia-Wei Lin
IEEE Access (2024) Vol. 12, pp. 89035-89045
Open Access | Times Cited: 2
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
Xianzhang Zhou, Aohan Li, Guangjie Han
Sensors (2023) Vol. 23, Iss. 17, pp. 7567-7567
Open Access | Times Cited: 5
A Mixed-feed Identification Method for Sizer Crusher Based on Squeeze-and-excitation Residual Network
Yankun Bi, Yongtai Pan, Guohua Li
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21706-21718
Closed Access | Times Cited: 1
A hybrid dynamic adversarial domain adaptation network with multi-channel attention mechanism for rotating machinery unsupervised fault diagnosis under varying operating conditions
Hangbo Duan, Zongyan Cai, Yuanbo Xu
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 21, pp. 10566-10577
Closed Access | Times Cited: 1
A lightweight dual-compression fault diagnosis framework for high-speed train bogie bearing
Yuyan Li, Shangjun Wang, Jingsong Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1
Bearing fault diagnosis based on spatial filtering constraint feature extraction and deep network
Yunji Zhao, Yuhang Zhou, Xiaozhuo Xu, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access | Times Cited: 2
Rolling Bearing Fault Diagnosis with Distribution Shift Data Using Improved Spatial Distribution Filters and Constraint Feature Extraction
Yunji Zhao, Wenming Bao, Xiaozhuo Xu
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 6, pp. 3749-3763
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
A novel fault diagnosis method for imbalanced datasets based on MCNN‐Transformer model in industrial processes
R.M.T. Lu
International Journal of Adaptive Control and Signal Processing (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
An Intelligent diagnosis method for rolling bearings based on Ghost module and adaptive weighting module
Qiang Ruiru, Xiaoqiang Zhao
Multimedia Tools and Applications (2024)
Closed 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
Application of symmetric uncertainty and emperor penguin–grey wolf optimisation for feature selection in motor fault classification
Chun‐Yao Lee, Truong‐An Le, Wei‐Lun Chien, et al.
IET Electric Power Applications (2024) Vol. 18, Iss. 10, pp. 1107-1121
Open Access
Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model
Jingtao Shen, Zhe Wu, Yachao Cao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5952-5952
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 Small Sample Bearing Fault Diagnosis Algorithm Based on Probabilistic Decoupling Knowledge Distillation and Meta-Learning
Hao Luo, Tongli Ren, Ying Zhang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8157-8157
Open Access
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
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