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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:

Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
Wenlang Xie, Zhixiong Li, Xu Yang, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3314-3314
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
He Tian, Huaicong Fan, Mingwen Feng, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6508-6508
Open Access | Times Cited: 21
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
A new hybrid model of convolutional neural networks and hidden Markov chains for image classification
Soumia Goumiri, Dalila Benboudjema, Wojciech Pieczynski
Neural Computing and Applications (2023) Vol. 35, Iss. 24, pp. 17987-18002
Open Access | Times Cited: 13
A novel fault diagnosis approach of rolling bearing using intrinsic feature extraction and CBAM-enhanced InceptionNet
Shijie Xu, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105111-105111
Closed Access | Times Cited: 13
Investigating the Effect of Vibration Signal Length on Bearing Fault Classification Using Wavelet Scattering Transform
Suparerk Janjarasjitt
Sensors (2025) Vol. 25, Iss. 3, pp. 699-699
Open Access
Predictive Artificial Intelligence Model for Detecting Dental Age Using Panoramic Radiograph Images
Sumayh S. Aljameel, Lujain Althumairy, Basmah Albassam, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 8-8
Open Access | Times Cited: 11
A Hybrid Feature Extraction and Classification using Xception-RF for Multiclass Disease Classification in Plant Leaves
A Abisha, N. Bharathi
Applied Artificial Intelligence (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 8
Bearing Fault Diagnosis Method Based on Deep Learning and Health State Division
Lin Shi, Shaohui Su, Wanqiang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7424-7424
Open Access | Times Cited: 8
Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks
Zhidan Zhong, Yao Zhao, Aoyu Yang, et al.
Lubricants (2022) Vol. 10, Iss. 8, pp. 170-170
Open Access | Times Cited: 11
Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network
Guang‐Jun Jiang, Dezhi Li, Ke Feng, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 6
Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation
Zhidan Zhong, Hao Liu, Wentao Mao, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 383-383
Open Access | Times Cited: 6
A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy
Yong Hao, Chengxiang Zhang, Yuanhang Lu, et al.
Precision Engineering (2023) Vol. 85, pp. 89-101
Closed Access | Times Cited: 5
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
Modified Xception-RF: A biotic stress prediction model in plant leaves using feature extraction and classification
A Abisha, N. Bharathi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 12, pp. 34199-34218
Closed Access | Times Cited: 1
Advancements in Bearing Defect Diagnosis: Deep Learning-based Signal Processing and Real-time Fault Detection
Yasser N. Aldeoes, Pratibha Mahajan, Shilpa Sondkar
Journal of Failure Analysis and Prevention (2024)
Closed Access | Times Cited: 1
Detection of Early Browning in Pears Based on Time–Frequency Images of Vibro-Acoustic Signals and Improved MobileNetV3
Hui Zhang, Shuai Ji, Kai Wang, et al.
Food and Bioprocess Technology (2024)
Closed Access | Times Cited: 1
Toward Reliable Image Forensics
Choudhary Shyam Prakash, Sahani Pooja Jaiprakash, N. Komal Kumar
(2024), pp. 23-37
Closed Access | Times Cited: 1
A Deep Learning-Based Unbalanced Force Identification of the Hypergravity Centrifuge
Kuigeng Lin, Yuke Li, Yunhao Wu, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3797-3797
Open Access | Times Cited: 3
Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers
Nada El Bouharrouti, Daniel Moríñigo-Sotelo, Anouar Belahcen
Machines (2023) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 3
Fault diagnosis for rolling bearing of road heading machine via SVDS-ICNN
Xiaofei Qu, Yongkang Zhang, Yin Li
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 8
Open Access | Times Cited: 2
Deep Residual Network with Pelican Cuckoo Search for Traffic Sign Detection
T Kumaravel, P. Natesan
International Journal of Pattern Recognition and Artificial Intelligence (2023) Vol. 38, Iss. 01
Closed Access | Times Cited: 2
Image-Processing-Based Intelligent Defect Diagnosis of Rolling Element Bearings Using Spectrogram Images
Syed Muhammad Tayyab, Steven Chatterton, Paolo Pennacchi
Machines (2022) Vol. 10, Iss. 10, pp. 908-908
Open Access | Times Cited: 3
Fault Types and Sizes Recognition of Rolling Bearing Based on Multi-Task Semi-Supervised Learning
Ziyue Jiang, Jianbo Yu
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 17907-17916
Closed Access
A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index
Seola Kim, Hyun-Soo Choi, Dohyun Kim, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1134-1134
Open Access
Intelligent Bearing Condition Monitoring for Electrical Machines Through Vibration Signal Based on Autoencoder and Almost-Parameter-Free Classifiers
Michel Lehmann, Andreas Möckel
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2024), pp. 1230-1235
Closed Access
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