OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Applications of Digital Signal Processing in Monitoring Machining Processes and Rotary Components: A Review
Deepam Goyal, Chirag Mongia, Shankar Sehgal
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 8780-8804
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Machine learning and artificial intelligence in CNC machine tools, A review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Sustainable Manufacturing and Service Economics (2023) Vol. 2, pp. 100009-100009
Open Access | Times Cited: 96

An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization
Rismaya Kumar Mishra, Anurag Choudhary, AR Mohanty, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 19, pp. 10378-10391
Closed Access | Times Cited: 40

Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
Zhiwen Huang, Jiajie Shao, Jianmin Zhu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1079-1105
Closed Access | Times Cited: 22

Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review
Lei Wu, Jiewu Leng, Bing‐Feng Ju
Symmetry (2021) Vol. 13, Iss. 9, pp. 1717-1717
Open Access | Times Cited: 39

A Fault Diagnosis Approach Based on 2D-Vibration Imaging for Bearing Faults
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 7, pp. 3121-3134
Closed Access | Times Cited: 26

Vibration-Based Fault Diagnosis of Broken Impeller and Mechanical Seal Failure in Industrial Mono-Block Centrifugal Pumps Using Deep Convolutional Neural Network
S Manikandan, K Duraivelu
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 1, pp. 141-152
Closed Access | Times Cited: 22

Novel cylindrical representation of the STFT for signal analysis
Jacob Gonzalez‐Villagomez, Gonzalez-Villagomez Esau, J.R.R. Mayer, et al.
Electronics Letters (2025) Vol. 61, Iss. 1
Open Access

Image-based machine learning model for tool wear estimation in milling Inconel 718
Tam T. Truong, Jay Airao, Saman Fattahi, et al.
Wear (2025), pp. 205865-205865
Open Access

Detection of Simultaneous Bearing Faults Fusing Cross Correlation With Multikernel SVM
Anadi Biswas, Susanta Ray, Debangshu Dey, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14418-14427
Closed Access | Times Cited: 9

Predicting the quality of a machined workpiece with a variational autoencoder approach
Antoine Proteau, Antoine Tahan, Ryad Zemouri, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 719-737
Closed Access | Times Cited: 20

An Intelligent Edge Diagnosis System Based on Multiplication–Convolution Sparse Network
Qihang Wu, Xiaoxi Ding, Qiang Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 26753-26764
Closed Access | Times Cited: 8

Wavelet and Signal Analyzer Based High-Frequency Ripple Extraction in the Context of MPPT Algorithm in Solar PV Systems
Md Abu Taher, Milad Behnamfar, Arif I. Sarwat, et al.
IEEE Access (2024) Vol. 12, pp. 113726-113740
Open Access | Times Cited: 2

Time–Frequency Approach for Cutting Tool Power Signal Separation in Face Milling Operations
Eduardo Rubio, Juan Carlos
Applied Mechanics (2024) Vol. 5, Iss. 1, pp. 180-191
Open Access | Times Cited: 1

Role and Significance of Defect Detection Methods for Rotating Machines: An Explicit Literature Review
Ekta Yadav, V.K. Chawla
Journal of The Institution of Engineers (India) Series C (2024) Vol. 105, Iss. 5, pp. 1293-1310
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

A new embedded vision system for monitoring tool conditions in production lines using a combination of direct and indirect methods
Henry Peterson Scharf, Heraldo Nelio Cambraia, Dalberto Dias da Costa
Journal of Manufacturing Processes (2023) Vol. 102, pp. 143-153
Closed Access | Times Cited: 4

Short-Time/-Angle Spectral Analysis for Vibration Monitoring of Bearing Failures under Variable Speed
Edgar F. Sierra-Alonso, Julián Caicedo-Acosta, Álvaro A. Orozco, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3369-3369
Open Access | Times Cited: 10

Monitoring of Cylindrical Plunge Grinding Process by Electromechanical Impedance
Fábio Isaac Ferreira, Paulo Roberto de Aguiar, Rosemar Batista da Silva, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12314-12322
Closed Access | Times Cited: 7

Tool wear prediction based on multidomain feature fusion by attention-based depth-wise separable convolutional neural network in manufacturing
Guofa Li, Yanbo Wang, Jili Wang, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 11-12, pp. 3857-3874
Closed Access | Times Cited: 8

Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
Masaaki KIMURA, Angkush Kumar Ghosh
Sensors (2021) Vol. 21, Iss. 21, pp. 7336-7336
Open Access | Times Cited: 5

Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Nawin Raj, J. Ganesh Murali, Lila Singh‐Peterson, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2376-2376
Open Access

Non-interference detection of digital signals in transmission line utilizing quantum sensor of nitrogen-vacancy centers
Yu Wang, Huan Fei Wen, Xin Li, et al.
Optics and Lasers in Engineering (2024) Vol. 183, pp. 108504-108504
Closed Access

GRUDMU-DSCNN: An edge computing method for fault diagnosis with missing data
Ziyang Yu, Yanzhi Wang, Xiaofeng Zong, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access

Page 1 - Next Page

Scroll to top