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:

Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network
Jaafar Alsalaet, Ali Hajnayeb, Abdulbaseer S. Bahedh
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045901-045901
Closed Access | Times Cited: 24

Showing 24 citing articles:

An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method
Yılmaz Kaya, Melih Kuncan, Eyyüp Akcan, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111438-111438
Closed Access | Times Cited: 12

Fault diagnosis of rolling bearing based on SEMD and ISSA-KELMC
Yongtao Hu, Enyu Zhao, Jie Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056127-056127
Closed Access | Times Cited: 5

A new dual-channel convolutional neural network and its application in rolling bearing fault diagnosis
Baoquan Hu, Jun Liu, Rongzhen Zhao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096130-096130
Closed Access | Times Cited: 5

Fault Diagnosis of Civil Aircraft Anti-skid Braking System Based on 1D-CVSAE and Attention Mechanism
Zhizhong Mao, Shaojie Zhang, Jiayi Huang, et al.
Lecture notes in electrical engineering (2025), pp. 361-370
Closed Access

The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Jie Zhou, Kehan Ge, Yiping Shen, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127162-127162
Closed Access

Diagnosing damage to steel structures based on a deep transfer learning algorithm
Eman. R. Bustan, Jaafar Khalaf Ali
AIP conference proceedings (2025) Vol. 3303, pp. 060013-060013
Closed Access

Prior knowledge-based residuals shrinkage prototype networks for cross-domain fault diagnosis
Junwei Hu, Weigang Li, Xiujuan Zheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105011-105011
Closed Access | Times Cited: 10

Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine
Eyyüp Akcan, Melih Kuncan, Kaplan Kaplan, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 46, Iss. 1
Closed Access | Times Cited: 10

Research on roller bearing fault diagnosis method based on flexible dynamic adjustable strategy under data imbalance
Haiyang Pan, Bingxin Li, Qiuyan Yan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066113-066113
Closed Access | Times Cited: 3

Fault diagnosis of a marine power-generation diesel engine based on the Gramian angular field and a convolutional neural network
Congyue Li, Yihuai Hu, Jiawei Jiang, et al.
Journal of Zhejiang University. Science A (2024) Vol. 25, Iss. 6, pp. 470-482
Closed Access | Times Cited: 3

MAB-DrNet: Bearing Fault Diagnosis Method Based on an Improved Dilated Convolutional Neural Network
Feiqing Zhang, Zhenyu Yin, Fulong Xu, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5532-5532
Open Access | Times Cited: 6

Rolling bearing fault diagnosis method based on multi-information fusion characteristics under complex working conditions
Xiaoyan Duan, Linlin Xue, Chunli Lei, et al.
Applied Acoustics (2023) Vol. 214, pp. 109685-109685
Closed Access | Times Cited: 6

Intelligent mechanical fault diagnosis using multiscale residual network and multisensor fusion
Haiyu Guo, Wei Yu, Xiaoguang Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116007-116007
Closed Access | Times Cited: 1

Application of Neural Network Based on Transformer Model in Rolling Bearing Fault Diagnosis
Hongliang He, Tongtong Liu, Xueping Ren
Mechanisms and machine science (2024), pp. 363-372
Closed Access

A verified training support vector machine in bearing fault diagnosis
Yuting Liu, Hong Gu, Pan Qin
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116131-116131
Closed Access

A Cooperative Convolutional Neural Network Framework for Multisensor Fault Diagnosis of Rotating Machinery
Tianzhuang Yu, Zeyu Jiang, Zhaohui Ren, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 22, pp. 38309-38317
Closed Access

Fault identification of rolling bearing based on improved salp swarm algorithm
Hongwei Chen, Man Zhang, Fangrui Liu, et al.
Intelligent Data Analysis (2024), pp. 1-26
Closed Access

Non-conventional feature-based LSTM model for prediction of bearing performance degradation
G Geetha, C Shanthini, P. Geethanjali
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045333-045333
Closed Access

Non-Destructive Testing of Electric Parking Brake Modules with Piezoelectric Sensors
Bartłomiej Ambrożkiewicz, Arkadiusz Syta, Łukasz Wójcik, et al.
(2024)
Closed Access

Multi-branch convolutional attention network for multi-sensor feature fusion in intelligent fault diagnosis of rotating machinery
Ke Wu, Zirui Li, Chong Chen, et al.
Quality Engineering (2023) Vol. 36, Iss. 3, pp. 609-623
Closed Access | Times Cited: 1

Cross-domain diagnosis of roller bearing faults based on the envelope analysis adaptive features and artificial neural networks
Haider Suhail Najim, Jaafar Alsalaet
Journal of Vibration and Control (2023) Vol. 30, Iss. 13-14, pp. 3168-3183
Closed Access

Analysis of Acoustic Flow Field Characteristics of Key Components of High-Speed Train Bogies
Xing Zhao, Xiaoyang Jia, Lin Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 11065-11065
Open Access

Bearing Fault Diagnosis Based on Auto-Encoder
Huijun Han, Jin Mao, Yahui Cui
(2023) Vol. abs 1412 3555, pp. 361-365
Closed Access

Research on fault diagnosis method of linear vibration screen based on fused RP-improved CNN
Wei Fan, Tianteng Feng, Yuezhou He, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2023) Vol. 238, Iss. 12, pp. 5891-5901
Closed Access

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