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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:

Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis
Bingchang Hou, Dong Wang, Zhike Peng, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 1, pp. 985-995
Closed Access | Times Cited: 24

Showing 24 citing articles:

Maximum Ramanujan Spectrum Signal-to-Noise Ratio Deconvolution Method: Algorithm and Applications
Jian Cheng, Haiyang Pan, Jinde Zheng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11977-11986
Closed Access | Times Cited: 18
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18
An interpretable waveform segmentation model for bearing fault diagnosis
Hao Li, Jing Lin, Zongyang Liu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102480-102480
Closed Access | Times Cited: 17
Shrinkage mamba relation network with out-of-distribution data augmentation for rotating machinery fault detection and localization under zero-faulty data
Zuoyi Chen, Hong‐Zhong Huang, Zhongwei Deng, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112145-112145
Closed Access | Times Cited: 9
A Semisupervised GCN Framework for Transfer Diagnosis Crossing Different Machines
Liuyang Song, Pengyuan Hao, Shikuan Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8326-8336
Closed Access | Times Cited: 7
Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis
Bin Sun, Hongkun Li, Junxiang Wang, et al.
Structural Health Monitoring (2025)
Closed Access
Optimized weights Time-Frequency Analysis: A novel method for fault diagnosis in rotating Machinery under Time-Varying speeds
Bin Sun, Hongkun Li, Chaoge Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112345-112345
Closed Access
A novel method for identifying the breathing characteristics of transverse joints in arch dams based on seismic responses
Jiahui Guo, Jianyun Chen, Qiang Xu, et al.
Engineering Structures (2025) Vol. 328, pp. 119725-119725
Closed Access
Research on sparsity measures for fault signature quantification
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 25-71
Closed Access
Classic and advanced sparsity-measures-based signal processing methods
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 73-104
Closed Access
Introduction and background
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 1-13
Closed Access
Sparsity-measures-inspired data-driven signal processing techniques
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 105-136
Closed Access
A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings
Tao Liu, Xinsan Li, Junshuai Sun, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102766-102766
Closed Access | Times Cited: 2
Encoder Signal Analysis and its Application in Gear Fault Detection
Xinmin Yang, Yu Guo, Hongwei Wang
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-9
Closed Access | Times Cited: 6
Multiscale permutation entropy gray image coding method and its application in bearing fault diagnosis
Yingsen She, Mingxi Ai, Peng Li, et al.
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015092-015092
Open Access | Times Cited: 1
A Multi-scale Convolutional Autoencoder with Attention Mechanism for Fault Diagnosis of Rotating Machinery
Zihao Lei, Hongguang Yun, Feiyu Tian, et al.
Springer eBooks (2024), pp. 601-617
Closed Access | Times Cited: 1
A multi-scale feature extraction and fusion method for diagnosing bearing faults
Zhixiang Chen, Hang Wang, Yuanyuan Zhou, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 1
Anti-forgetting Source-free Domain Adaptation Method for Machine Fault Diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Knowledge-Based Systems (2024), pp. 112672-112672
Closed Access | Times Cited: 1
Fully Interpretable Optimized Weights-Based Methodology for Adaptive Machine Fault Components Extraction
Bingchang Hou, Dong Wang, Min Xie
Mechanisms and machine science (2024), pp. 561-572
Closed Access
Robust optimized weights spectrum: Enhanced interpretable fault feature extraction method by solving frequency fluctuation problem
Yu Wang, Dong Wang, Bingchang Hou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111798-111798
Closed Access
The harmonic modulation bispectrum: a modulated vibration signal analysis method for compound fault diagnosis of gearboxes
Miaorui Yang, Zuhua Jiang, Yonggang Xu, et al.
Structural Health Monitoring (2024)
Closed Access
Early Fault Diagnosis of Bearings Based on Symplectic Geometry Mode Decomposition Guided by Optimal Weight Spectrum Index
Chenglong Wei, Yiqi Zhou, Bo Han, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 408-408
Open Access
Easier Computational Approach of Optimized Weights and Its Extensions for Learning Interpretable Machine Fault Features
Bingchang Hou, Jie Liu, Dong Wang
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 1
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