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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:

A Fault Diagnosis Method of Rolling Bearing Based on Improved Recurrence Plot and Convolutional Neural Network
Xiaoping Liu, Lijian Xia, Jian Shi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10767-10775
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
Closed Access
A rolling bearing fault diagnosis framework under variable working conditions considers dynamic feature extraction
Wang Jia, Hui Shi, Zengshou Dong, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110255-110255
Closed Access
High-Speed Bearing Health Monitoring Method Based on Attention Mechanism Optimized Siamese Deep Residual Network
Jian Duan, Hu Cheng, Hongdi Zhou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23191-23200
Closed Access | Times Cited: 11
Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning
Xun Zhang, Guanghua Xu, Xiaobi Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076118-076118
Closed Access | Times Cited: 3
A rolling bearing fault diagnosis method based on Markov transition field and multi-scale Runge-Kutta residual network
Simin Ding, Zhiyuan Rui, Chunli Lei, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125150-125150
Closed Access | Times Cited: 7
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
Xianzhang Zhou, Aohan Li, Guangjie Han
Sensors (2023) Vol. 23, Iss. 17, pp. 7567-7567
Open Access | Times Cited: 5
An intelligent fault diagnosis method for rolling bearing using motor stator current signals
Xiangbiao Ye, Guofu Li
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086131-086131
Closed Access | Times Cited: 1
Multimodal fusion fault diagnosis method under noise interference
Zhi Qiu, Shanfei Fan, Haibo Liang, et al.
Applied Acoustics (2024) Vol. 228, pp. 110301-110301
Closed Access | Times Cited: 1
Joint Semitensor Compressive Sensing With Multiscale Pyramidal Residual Network for Rolling Bearing Fault Diagnosis
Menglong Li, Zongyan Wang, Yuting Zhang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 1, pp. 184-194
Closed Access | Times Cited: 4
Enhancement of Track Damage Identification by Data Fusion of Vibration-Based Image Representation
Shaohua Wang, Lihua Tang, Yinling Dou, et al.
Journal of Nondestructive Evaluation (2023) Vol. 43, Iss. 1
Closed Access | Times Cited: 3
A successive sources deletion method for enhancing the trackside acoustic weak signal of axle bearing
Danyi Liu, Dingyu Hu, Wei Shi, et al.
Measurement (2023) Vol. 223, pp. 113744-113744
Closed Access | Times Cited: 2
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
An MTBWO Algorithm Based on BiGRU Model
Yongjie Yang, Liumeng Sun, Ningtao Zhang
Electronics (2024) Vol. 13, Iss. 7, pp. 1195-1195
Open Access
Precision prediction in grinding processes based on displacement signal conversion into recurrent plot
Xiao Li, Qian Tang, Longlong Li, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access
Pattern classification of bearing faults in PMSM based on time domain feature ensembles
G Geetha, P Geethanjali
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035205-035205
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
A reference learning network for fault diagnosis of rotating machinery under strong noise
Yinjun Wang, Zhigang Zhang, Xiaoxi Ding, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112150-112150
Closed Access
Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model
Jingtao Shen, Zhe Wu, Yachao Cao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5952-5952
Open 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
Rolling bearing fault diagnosis method based on MSDCNN in strong noise environment
Julie S. Ivy, Brian K. Wilson, Marion W. Scott, et al.
Journal of applied artificial intelligence. (2024) Vol. 1, Iss. 3, pp. 284-298
Closed Access
Advanced method for recognizing and measuring key information in non-stationary signals using variational mode decomposition and CNN-LSTM-SVM algorithms
Fujing Xu, Yan Zhang, Qiang Liu, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 10
Closed Access
A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications
Jiaming Li, Hao Chen, Xianbo Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112068-112068
Closed Access
Customized CNN based classification of power system disturbances using recurrence plots
Chandan Jana, Sannistha Banerjee, Subhajit Maur, et al.
Electric Power Systems Research (2024) Vol. 241, pp. 111370-111370
Closed Access
Rolling bearing fault diagnosis method based on gramian angular difference field and dynamic self-calibrated convolution module
Chunli Liu, Jiarui Bai, Linlin Xue, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314898-e0314898
Open Access
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