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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:

Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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
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
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
A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery
Fei Chen, Jie Liu, Xiaoxi Hu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103190-103190
Closed Access
Fault Diagnosis of Wind Turbine Blades Based on One-Dimensional Convolutional Neural Network-Bidirectional Long Short-Term Memory-Adaptive Boosting and Multi-Source Data Fusion
Kangqiao Ma, Yongqian Wang, Yang Yu
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3440-3440
Open Access
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 13
Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis
Hao Zhong, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075101-075101
Closed Access | Times Cited: 4
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Zhenpeng Lao, Deqiang He, Haimeng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108847-108847
Closed Access | Times Cited: 4
Fault diagnosis method for railway wagon bearings under imbalanced dataset based on improved ACWGAN
Zhihui Men, Yonghua Li, Lei Gao, et al.
Nonlinear Dynamics (2025)
Closed Access
Multisensor Fusion on Hypergraph for Fault Diagnosis
Xunshi Yan, Zhengang Shi, Zhe Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10008-10018
Open Access | Times Cited: 3
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
Yiling He, Deqiang He, Zhenpeng Lao, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111746-111746
Closed Access | Times Cited: 3
Fault diagnosis of train traction motor bearing based on improved deep residual network
Haimeng Sun, Deqiang He, Zhenpeng Lao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2023) Vol. 238, Iss. 7, pp. 3084-3099
Closed Access | Times Cited: 7
Application of K-Shell Algorithm in Key Point Identification and Cascading Failure in Urban Public Safety Transportation Network
Xiaohu You, Ren Yuan
IEEE Access (2024) Vol. 12, pp. 32152-32163
Open Access | Times Cited: 1
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
A High-Speed Train Axle Box Bearing Fault Diagnosis Method Based on Dimension Reduction Fusion and the Optimal Bandpass Filtering Demodulation Spectrum of Multi-Dimensional Signals
Zhongyao Wang, Zejun Zheng, Dongli Song, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 571-571
Open Access | Times Cited: 1
Reliability Study of Critical Components of Urban Rail Vehicle Based on Improved SCSO Algorithm
Haimeng Sun, Deqiang He, Zhenpeng Lao
Mechanisms and machine science (2024), pp. 274-283
Closed Access | Times Cited: 1
A fault diagnosis method based on feature-level fusion of multi-sensor information for rotating machinery
Tianyu Gao, Jingli Yang, Baoqin Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036109-036109
Closed Access | Times Cited: 4
Fault diagnosis method for rotating machinery based on SEDenseNet and Gramian Angular Field
R. Bai, Hongwei Wang, Wenlei Sun, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 4
Open Access
Small Sample Fault Diagnosis Method of Point Machine Based on Improved Relation Network
Zhenpeng Lao, Deqiang He, Haimeng Sun
Mechanisms and machine science (2024), pp. 284-295
Closed Access
Fault Diagnosis of Train Bogie Bearing Based on AP-Tensor Clustering Under Multichannel Data
Zexian Wei, Deqiang He, Zhenzhen Jin, et al.
Mechanisms and machine science (2024), pp. 308-315
Closed Access
Fault Diagnosis of Switch Machine Based on Hierarchical Dispersion Entropy and SSA-SVM
Zhenzhen Jin, Deqiang He, Weichang Xu, et al.
Mechanisms and machine science (2024), pp. 316-325
Closed Access
Adaptive Multi-domain Feature Fusion Remaining Useful Life Prediction of Rolling Bearings Using Temporal Convolution Long Short-Term Memory Network
Jinxin Wu, Deqiang He, Zhenzhen Jin, et al.
Mechanisms and machine science (2024), pp. 326-336
Closed Access
An Improved Residual Network for Bearing Fault Diagnosis in Strong Noise Background
Zhilei Zhao, Jie Tao, Dalian Yang, et al.
Mechanisms and machine science (2024), pp. 13-22
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
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