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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:

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN
Hanting Zhou, Wenhe Chen, Changqing Shen, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 23, pp. 8252-8264
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Non-parametric Ensemble Empirical Mode Decomposition for extracting weak features to identify bearing defects
Anil Kumar, Yaakoub Berrouche, Radosław Zimroz, et al.
Measurement (2023) Vol. 211, pp. 112615-112615
Open Access | Times Cited: 37
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 11
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
Aobo Yu, Bolin Cai, Qiujie Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110181-110181
Closed Access | Times Cited: 7
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference
Hanting Zhou, Wenhe Chen, Peirui Qiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111407-111407
Closed Access | Times Cited: 6
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: 6
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Adel Afia, Fawzi Gougam, Walid Touzout, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access | Times Cited: 14
Fault diagnosis of high-speed rolling bearing in the whole life cycle based on improved grey wolf optimizer-least squares support vector machines
Junning Li, Wenguang Luo, Mengsha Bai, et al.
Digital Signal Processing (2023) Vol. 145, pp. 104345-104345
Closed Access | Times Cited: 11
Frequency-Corrected Synchrosqueezing Reassigning Transform for Fault Diagnosis
Yue Xi, Zihao Lei, Guangrui Wen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13073-13084
Closed Access | Times Cited: 4
Information Enhanced Slow Feature Analysis Integrated with Prior Fault Data for Sensitive Monitoring of Chemical Processes
Xiaogang Deng, Wenjie Yang, Yuping Cao, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 4
A new class of fault detection and diagnosis methods by fusion of spatially distributed and time-dependent features
Yan Chen, Xiaoyu Zhang, Dazi Li, et al.
Journal of Process Control (2025) Vol. 146, pp. 103372-103372
Closed Access
Extrapolating from one: A pseudo multi-view fusion approach for enhanced out-of-distribution detection in fault diagnosis
Hairui Fang, Haoze Li, Liu Han, et al.
Mechanical Systems and Signal Processing (2025) Vol. 231, pp. 112661-112661
Closed Access
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
Hanting Zhou, Wenhe Chen, Jing Liu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3523-3542
Open Access | Times Cited: 9
Screening of Discrete Wavelet Transform Parameters for the Denoising of Rolling Bearing Signals in Presence of Localised Defects
Eugenio Brusa, Cristiana Delprete, Simone Gargiuli, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 8-8
Open Access | Times Cited: 13
Instance-dependent misclassification cost-sensitive learning for default prediction
Jin Xing, Guotai Chi, Ancheng Pan
Research in International Business and Finance (2024) Vol. 69, pp. 102265-102265
Closed Access | Times Cited: 1
Digital twin-assisted intelligent fault diagnosis for bearings
Siqi Gong, Shunming Li, Yongchao Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106128-106128
Open Access | Times Cited: 1
Artificial Intelligence Enabling Denoising in Passive Electronic Filtering Circuits for Industry 5.0 Machines
Alessandro Massaro
Machines (2024) Vol. 12, Iss. 8, pp. 551-551
Open Access | Times Cited: 1
MESMD and Its Application to Fault Diagnosis of Gear
Kehan Ge, Yiping Shen, Zhou Jie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 30512-30521
Closed Access | Times Cited: 1
Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm
Wen-Jun Bai, Chang Yingjie
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Orthogonal binary singular value decomposition method for automated windshield wiper fault detection
Taha J. Alhindi, Jae-Seung Baek, Young‐Seon Jeong, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 9, pp. 3383-3397
Closed Access | Times Cited: 2
DEFR-net: A decompose-enhance fourier residual network for fault diagnosis of rotating machine with high noise immunity
Baigang Du, Fujiang Zhang, Jun Guo, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-22
Closed Access
Transformación de árboles de fallas en redes bayesianas:
Raúl Torres Sainz, Lidia María Pérez Vallejo, Carlos Alberto Trinchet Varela
Desarrollo Sustentable Negocios Emprendimiento y Educación (2024) Vol. 6, Iss. 52, pp. 69-80
Open Access
An Ultra-Short-Term Wind Power Prediction Method Based on Quadratic Decomposition and Multi-Objective Optimization
Haoyu Chen, Zhenglong Zhang, Shaokai Tong, et al.
EAI Endorsed Transactions on Energy Web (2024) Vol. 11
Open Access
Fault Diagnosis of Rotating Machines Based on Multiple Parallel Hidden Layers Denoising Auto-Encoder and One-Dimensional Convolutional Neural Network
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
(2024)
Closed Access
Fractional Diversity Entropy: A Vibration Signal Measure to Assist a Diffusion Model in the Fault Diagnosis of Automotive Machines
Baohua Wang, Jiacheng Zhang, Weilong Wang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3155-3155
Open Access
Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample
Xufeng Zhao, Ying Chen, Mengshu Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5233-5244
Closed Access
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