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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:

Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis
Bingchang Hou, Dong Wang, Yikai Chen, et al.
Mechanical Systems and Signal Processing (2022) Vol. 169, pp. 108779-108779
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A time-frequency spectral amplitude modulation method and its applications in rolling bearing fault diagnosis
Zuhua Jiang, Kun Zhang, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109832-109832
Closed Access | Times Cited: 86
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
Difference mode decomposition for adaptive signal decomposition
Bingchang Hou, Dong Wang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110203-110203
Closed Access | Times Cited: 45
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111507-111507
Closed Access | Times Cited: 35
Understanding importance of positive and negative signs of optimized weights used in the sum of weighted normalized Fourier spectrum/envelope spectrum for machine condition monitoring
Bingchang Hou, Dong Wang, Jin-Zhen Kong, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109094-109094
Closed Access | Times Cited: 47
Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review
Yongjian Sun, Jian Wang, Xiaohong Wang
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109833-109833
Closed Access | Times Cited: 43
An integrated framework via key-spectrum entropy and statistical properties for bearing dynamic health monitoring and performance degradation assessment
Renhe Yao, Hongkai Jiang, Chunxia Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109955-109955
Closed Access | Times Cited: 43
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, et al.
Applied Mathematical Modelling (2023) Vol. 124, pp. 325-352
Open Access | Times Cited: 35
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: 25
PCWGAN-GP: A New Method for Imbalanced Fault Diagnosis of Machines
Yaoxiang Yu, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 32
OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis
Bingchang Hou, Yikai Chen, Hong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 28
Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis
Bingchang Hou, Xiao Feng, Jin-Zhen Kong, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110200-110200
Closed Access | Times Cited: 17
Global optimal Ramanujan spectrum: A feature extraction method without pseudo-monotonicity
Jian Cheng, Haiyang Pan, Jinde Zheng, et al.
Expert Systems with Applications (2024), pp. 125425-125425
Closed Access | Times Cited: 7
Ensemble difference mode decomposition based on transmission path elimination technology for rotating machinery fault diagnosis
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111330-111330
Closed Access | Times Cited: 6
A Wasserstein generative digital twin model in health monitoring of rotating machines
Wenyang Hu, Tianyang Wang, Fulei Chu
Computers in Industry (2022) Vol. 145, pp. 103807-103807
Closed Access | Times Cited: 24
Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102128-102128
Open Access | Times Cited: 15
Interpretable multi-domain meta-transfer learning for few-shot fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 5
Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102787-102787
Closed Access | Times Cited: 5
Optimal Weighted Envelope Spectrum: An enhanced demodulation method for extracting specific characteristic frequency of rotating machinery
Kelin Wu, Weiqi Tong, Jianghui Xie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111165-111165
Closed Access | Times Cited: 4
A novel weighted sparsity index based on multichannel fused graph spectra for machine health monitoring
Kaifan Zhang, Jing Yuan, Huiming Jiang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111417-111417
Closed Access | Times Cited: 4
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 4
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
Two practical application case studies
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 137-151
Closed Access
Sparsity-measures-inspired data-driven signal processing techniques
Dong Wang, Bingchang Hou
Elsevier eBooks (2025), pp. 105-136
Closed Access
Differential time-frequency mode decomposition and its application in rotating machinery fault diagnosis
Bin Sun, Hongkun Li, Junxiang Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112571-112571
Closed Access
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