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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:

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
Diwang Ruan, Jin Wang, Jianping Yan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101877-101877
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
Pengfei Liang, Zhuoze Yu, Bin Wang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102075-102075
Closed Access | Times Cited: 70
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network
Zhuyun Chen, Jingyan Xia, Jipu Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102033-102033
Closed Access | Times Cited: 50
An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
Zhilin Dong, Dezun Zhao, Lingli Cui
Nonlinear Dynamics (2024) Vol. 112, Iss. 8, pp. 6439-6459
Open Access | Times Cited: 35
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU
Feiyu Lu, Qingbin Tong, Jianjun Xu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102536-102536
Closed Access | Times Cited: 18
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
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: 2
Multiple-signal defect identification of hydraulic pump using an adaptive normalized model and S transform
Yong Zhu, Shengnan Tang, Shouqi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106548-106548
Closed Access | Times Cited: 38
Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets
Lingli Cui, Zhilin Dong, Hai Xu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102322-102322
Closed Access | Times Cited: 32
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
Deep learning based automated fracture identification in material characterization experiments
Nikolaos Karathanasopoulos, Panagiotis Hadjidoukas
Advanced Engineering Informatics (2024) Vol. 60, pp. 102402-102402
Closed Access | Times Cited: 14
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: 14
Transfer learning for servomotor bearing fault detection in the industrial robot
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Advances in Engineering Software (2024) Vol. 194, pp. 103672-103672
Closed Access | Times Cited: 12
An adaptive reweighted-Kurtogram for bearing fault diagnosis under strong external impulse noise
Jie Peng, Yumeng Zhao, Xin Zhang, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3336-3351
Closed Access | Times Cited: 8
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data
Yanzhuo Lin, Yu Wang, Mingquan Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102471-102471
Closed Access | Times Cited: 8
Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
Phuong Nguyen Thanh, Ming-Yuan Cho
Advanced Engineering Informatics (2024) Vol. 62, pp. 102644-102644
Closed Access | Times Cited: 8
Integration of lanthanide MOFs/methylcellulose-based fluorescent sensor arrays and deep learning for fish freshness monitoring
Xia Xu, Xiaoyi Wang, Yicheng Ding, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 131011-131011
Closed Access | Times Cited: 7
LSTA-Net framework: Pioneering intelligent diagnostics for insulating bearings under real-world complex operational conditions and its interpretability
Tongguang Yang, Guanchen Li, Yicheng Duan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111779-111779
Closed Access | Times Cited: 7
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Junwei Hu, Weigang Li, Ailong Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110958-110958
Closed Access | Times Cited: 19
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
Lorenzo Polverino, Raffaele Abbate, Pasquale Manco, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 16
Fault diagnosis of planetary gearboxes under variable operating conditions based on AWM-TCN
Jinpeng Huang, Guoxin Wu, Xiuli Liu, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109520-109520
Closed Access | Times Cited: 6
Enhanced fault diagnosis of rolling bearings using an improved inception-lstm network
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 6
MC-WDWCNN: an interpretable multi-channel wide-kernel wavelet convolutional neural network for strong noise-robust fault diagnosis
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096125-096125
Closed Access | Times Cited: 5
Smart systems for real-time bearing faults diagnosis by using vibro-acoustics sensor fusion with Bayesian optimised 1-D CNNs
Abdullah Al Mamun, David A. Guerra-Zubiaga, Yayu Peng
Nondestructive Testing And Evaluation (2024), pp. 1-25
Closed Access | Times Cited: 5
Fault Diagnosis Model via Vibration Signal Analysis With an Improved BKA‐VMD and CNN‐TELM Hybrid Framework
Jingzong Yang, Xuefeng Li, Min Mao
Energy Science & Engineering (2025)
Open Access
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