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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:

Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Shuyang Luo, Xufeng Huang, Yanzhi Wang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109846-109846
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 49
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 27
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 15
Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy
Jimeng Li, Zhangdi Ye, Jie Gao, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111620-111620
Closed Access | Times Cited: 15
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
Bearing fault diagnosis under various conditions using an incremental learning-based multi-task shared classifier
Pengcheng Wang, Hui Xiong, Haoxiang He
Knowledge-Based Systems (2023) Vol. 266, pp. 110395-110395
Closed Access | Times Cited: 34
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: 26
Deep continuous convolutional networks for fault diagnosis
Xufeng Huang, Tingli Xie, Jinhong Wu, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111623-111623
Closed Access | Times Cited: 13
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
Curriculum learning-based domain generalization for cross-domain fault diagnosis with category shift
Yu Wang, Jie Gao, Wei Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111295-111295
Closed Access | Times Cited: 9
Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy
Longchao Cao, Jingchang Li, Libin Zhang, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110212-110212
Closed Access | Times Cited: 30
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Xufeng Huang, Tingli Xie, Shuyang Luo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108212-108212
Closed Access | Times Cited: 6
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Lei Wang, Zhengwei Li, Jing Hu, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111523-111523
Closed Access | Times Cited: 6
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 5
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
A dynamic weighted joint distribution domain adaptation network for cross-machine fault diagnosis of rolling bearings
Qi Chang, Congcong Fang, Longqing Fan, et al.
Structural Health Monitoring (2025)
Closed Access
Task similarity guided transfer learning for acoustic emission-based rail crack assessment
Si‐Xin Chen, Lu Zhou, Yi‐Qing Ni, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112404-112404
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
Closed Access
A limited annotated sample fault diagnosis algorithm based on nonlinear coupling self-attention mechanism
Shuyang Luo, Dong Zhang, Jinhong Wu, et al.
Engineering Failure Analysis (2025), pp. 109474-109474
Closed Access
Integrating causal representations with domain adaptation for fault diagnosis
Ming Jiang, Kuang Zhou, Jiahui Gao, et al.
Reliability Engineering & System Safety (2025), pp. 110999-110999
Closed Access
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
P. Maestro, José Miguel Ramírez‐Sanz, Andrés Bustillo, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4525-4544
Open Access | Times Cited: 4
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: 3
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