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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:

Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis
Junbin Chen, Ruyi Huang, Kun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Zero-Shot Compound Fault Diagnosis Method Based on Semantic Learning and Discriminative Features
Juan Xu, Haiqiang Zhang, Long Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
Chun‐Yao Lee, Guang‐Lin Zhuo
IEEE Access (2023) Vol. 11, pp. 26953-26963
Open Access | Times Cited: 11
Fault Diagnosis of Bearings and Gears Based on LiteNet With Feature Aggregation
Qiankun Li, Xin Ma, Mingliang Cui, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 10
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed Access | Times Cited: 3
Fast Robust Capsule Network With Dynamic Pruning and Multiscale Mutual Information Maximization for Compound-Fault Diagnosis
Hao Chen, Xianbo Wang, Zhi-Xin Yang
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 838-847
Closed Access | Times Cited: 17
A Fault Diagnosis Method for Key Components of the CNC Machine Feed System Based on the DoubleEnsemble–LightGBM Model
Yiming Li, Yize Wang, Liuwei Lu, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 305-305
Open Access | Times Cited: 3
Transfer learning method for rolling bearing fault diagnosis under different working conditions based on CycleGAN
Jiantong Zhao, Wentao Huang
Measurement Science and Technology (2021) Vol. 33, Iss. 2, pp. 025003-025003
Closed Access | Times Cited: 20
A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection
Xinlin Sun, Chao Ma, Peiyin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-8
Closed Access | Times Cited: 14
Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions
Jongmin Park, Jinoh Yoo, Tae-Hyung Kim, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 4, pp. 1804-1820
Open Access | Times Cited: 8
Federated Learning for Bearing Fault Diagnosis with Dynamic Weighted Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 19
Efficient DCNN-LSTM Model for Fault Diagnosis of Raw Vibration Signals: Applications to Variable Speed Rotating Machines and Diverse Fault Depths Datasets
Muhammad Ahsan, Mostafa M. Salah
Symmetry (2023) Vol. 15, Iss. 7, pp. 1413-1413
Open Access | Times Cited: 7
Manipulator joint fault localization for intelligent flexible manufacturing based on reinforcement learning and robot dynamics
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102684-102684
Closed Access | Times Cited: 7
A Bearing Fault Diagnosis Method under Small Sample Conditions Based on the Fractional Order Siamese Deep Residual Shrinkage Network
Tao Li, Xiaoting Wu, Zhuhui Luo, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 134-134
Open Access | Times Cited: 2
Coupled Hybrid Stochastic Resonance With Multiobjective Optimization for Machinery Dynamic Signature and Fault Diagnosis
Shan Wang, Zijian Qiao, Pingjuan Niu
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11825-11837
Closed Access | Times Cited: 5
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis
Wenjun Sun, Ruqiang Yan, Ruibing Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
Improved Adversarial Transfer Network for Bearing Fault Diagnosis under Variable Working Conditions
Jun Wang, Hosameldin Ahmed, Xuefeng Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2253-2253
Open Access | Times Cited: 1
A Fault Diagnosis Method for CNC Machine Feed System Based on DoubleEnsemble-LightGBM Model
Yiming Li, Yize Wang, Liuwei Lu, et al.
(2024)
Open Access | Times Cited: 1
Hydraulic system fault diagnosis decoupling method based on 2D time-series modeling and self-attention fusion
Haicheng Wang, Juan Zhou, Hu Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Fault Diagnosis of Bearings Using MSCPCNN with Limited Samples
Pan Xie, Yan Tong
(2024), pp. 2056-2060
Closed Access | Times Cited: 1
AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis
Yan Han, Sipeng Lv, Qingqing Huang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112361-112361
Closed Access | Times Cited: 1
Rolling bearing fault diagnosis method based on multi-scale pooling residual convolutional neural network under noisy environment
Chengxiang Miao, Chunli Lei, Y.B. Yu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 1
Cascading Time-Frequency Transformer and Spatio-Temporal Graph Attention Network for Rotating Machinery Fault Diagnosis
Yiqi Liu, Zhewen Yu, Min Xie
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 1
MRNet: Rolling bearing fault diagnosis in noisy environment based on multi-scale residual convolutional network
Linfeng Deng, Cheng Zhao, Xiaoqiang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126136-126136
Closed Access | Times Cited: 1
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Ikram Bagri, Karim Tahiry, Aziz Hraiba, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 1013-1062
Open Access | Times Cited: 1
Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite
Yuanhong Chang, Jinglong Chen, Shuilong He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-14
Closed Access | Times Cited: 7

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