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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:

MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111294-111294
Closed Access | Times Cited: 34

Showing 1-25 of 34 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: 19
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: 3
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 13
A fault diagnosis method with AT-ICNN based on a hybrid attention mechanism and improved convolutional layers
Xueyi Li, Shuquan Xiao, Feibin Zhang, et al.
Applied Acoustics (2024) Vol. 225, pp. 110191-110191
Closed Access | Times Cited: 9
Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes
Yuping Huang, Ziang Li, Zhaoying Bian, et al.
Foods (2025) Vol. 14, Iss. 2, pp. 286-286
Open Access | Times Cited: 1
Adaptive Fusion Transfer Learning-based Digital Multitwin-assised Intelligent Fault Diagnosis
Sizhe Liu, Yongsheng Qi, Liqiang Liu, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111923-111923
Closed Access | Times Cited: 5
A two-stage remaining useful life prediction method based on adaptive feature metric and graph spatiotemporal attention rule learning
Shaoyang Liu, Jingfeng Wei, Guofa Li, et al.
Reliability Engineering & System Safety (2025), pp. 110802-110802
Closed 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
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
Ryad Zemouri
Machines (2025) Vol. 13, Iss. 2, pp. 125-125
Open Access
Predominance Preferential Selection for Minimizing Surplus Parts in the Selective Assembly of a Flow Production System
K.S. Shin, Hyemin Son, Kyo-Hong Jin
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1805-1805
Open Access
Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access
Diagnosis of composite faults for complex industrial machinery: A label-assisted self-supervised clustering approach
Hewei Gao, Xin Huo, Chao Zhu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112509-112509
Closed Access
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Applied Soft Computing (2025), pp. 113053-113053
Closed Access
A real-time onboard compressor stall warning method based on attention multiple sensors fusion and lightweight network
Huijie Jin, Yong-Ping Zhao, Zhiqiang Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110635-110635
Closed Access
Multisource Heterogeneous Information Selective Fusion Network for Fault Diagnosis of Rolling Bearings
Shoucong Xiong, Leping Zhang, Yingxin Yang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Spatial-temporal graph attention contrastive learning for semi-supervised bearing fault diagnosis with limited labeled samples
Wenbin Cai, Dezun Zhao, Tianyang Wang
Computers & Industrial Engineering (2025), pp. 111106-111106
Closed Access
Multi-fault Diagnosis with Wavelet Assisted Stacked Image Fusion and Dual Branch CNN
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Applied Soft Computing (2025), pp. 113183-113183
Closed Access
A graph-guided network with adaptive evaluation and improvement for disturbed sensors in fault-tolerant soft sensor modeling
Liyuan Kong, Chunjie Yang, Siwei Lou, et al.
Knowledge-Based Systems (2025), pp. 113497-113497
Closed Access
Review of intelligent fault diagnosis for rotating machinery under imperfect data conditions
Hao Chen, Jiaming Li, Xianbo Wang, et al.
Expert Systems with Applications (2025), pp. 127726-127726
Closed Access
MLIFT: Multi-scale linear interaction fusion transformer for fault diagnosis of hydraulic pumps
Siyuan Liu, Jixiong Yin, Yongqiang Zhang, et al.
Measurement (2025), pp. 117892-117892
Closed Access
Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis
Zhen Ming, Baoping Tang, Lei Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109371-109371
Closed Access | Times Cited: 3
Research on Magnetic Field-Based Damage Detection Technology for Ferromagnetic Microwires
Haifei Wang, Junqing Yin, Xin Cheng, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 878-878
Open Access | Times Cited: 2
A Novel Multi-Sensor Hybrid Fusion Framework
Haoran Du, Qi Wang, Xunan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086105-086105
Closed Access | Times Cited: 2
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data
Rui Shu, Yadong Xu, Jianliang He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102666-102666
Closed Access | Times Cited: 2
Few-shot bearing fault detection based on multi-dimensional convolution and attention mechanism
Yingying Xu, Chunhe Song, Chu Wang
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 4886-4907
Open Access | Times Cited: 1
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