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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:

Infrastructure monitoring and quality diagnosis in CNC machining: A review
Myrsini Ntemi, Spyridon Paraschos, Αναστάσιος Καρακώστας, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 38, pp. 631-649
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network
Pengfei Zhang, Dong Gao, Dongbo Hong, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110241-110241
Open Access | Times Cited: 30
A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models
Nimel Sworna Ross, Peter Madindwa Mashinini, C. Sherin Shibi, et al.
Measurement (2024) Vol. 230, pp. 114515-114515
Closed Access | Times Cited: 15
Health monitoring of CNC machining processes using machine learning and wavelet packet transform
Abbas Hussain, Taha Al Muhammadee Janjua, Anjum Naeem Malik, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111326-111326
Closed Access | Times Cited: 9
Novel Framework for Quality Control in Vibration Monitoring of CNC Machining
Georgia Apostolou, Myrsini Ntemi, Spyridon Paraschos, et al.
Sensors (2024) Vol. 24, Iss. 1, pp. 307-307
Open Access | Times Cited: 5
Research and application of simulation and optimization for CNC machine tool machining process under data semantic model reconstruction
Fei Hu, Xiumin Zou, Hongmei Hao, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 1-2, pp. 801-819
Closed Access | Times Cited: 5
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning
Pei Wang, Qianle Zhang, Hai Qu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 157-179
Closed Access | Times Cited: 4
Online tool wear prediction based on cutting force coefficients identification using neural network
Guicheng Wang, Min Wang, Peng Gao, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
A Signal Pattern Extraction Method Useful for Monitoring the Condition of Actuated Mechanical Systems Operating in Steady State Regimes
Adriana Munteanu, Mihaiță Horodincă, Neculai-Eduard Bumbu, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1119-1119
Open Access
Acoustic-Based Machine Main State Monitoring for High-Speed CNC Drilling
Pimolkan Piankitrungreang, Kantawatchr Chaiprabha, Worathris Chungsangsatiporn, et al.
Machines (2025) Vol. 13, Iss. 5, pp. 372-372
Open Access
Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1482-1497
Closed Access | Times Cited: 3
Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making
Riadh Euldji, Mouloud Bouamhdi, Redha Rebhi, et al.
Open Physics (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 8
Correlation Analysis of Vibration Signal Frequency with Tool Wear During the Milling Process on Martensitic Stainless Steel Material
Achmad Zaki Rahman, Khairul Jauhari, Mahfudz Al Huda, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 8, pp. 10573-10586
Closed Access | Times Cited: 7
Retrofitting enables sustainability, Industry 4.0 connectivity, and improved usability
Tero Kaarlela, Tero Niemi, Tomi Pitkäaho, et al.
Advances in Industrial and Manufacturing Engineering (2024) Vol. 9, pp. 100146-100146
Open Access | Times Cited: 2
Tool wear classification in milling for varied cutting conditions: with emphasis on data pre-processing
Kuan‐Ming Li, Yi-Yen Lin
The International Journal of Advanced Manufacturing Technology (2022) Vol. 125, Iss. 1-2, pp. 341-355
Closed Access | Times Cited: 8
Quality monitoring solution: measurement and modeling of product external diameter in CNC turning
Jae Uk Choi, Seung Hwan Park
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4195-4203
Closed Access | Times Cited: 1
Assessment of hybrid composite drilling and prediction of cutting parameters by ANFIS and deep neural network approach
Asma Benkhelladi, Aissa Laouissi, Hamdi Laouici, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1
Biochar in cementitious composites: A comprehensive review of properties, compatibility, and prospect of use in sustainable geopolymer concrete
Seemab Tayyab, Wahid Ferdous, Weena Lokuge, et al.
Resources Conservation & Recycling Advances (2024), pp. 200242-200242
Open Access | Times Cited: 1
BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system
Pawan Kumar Pathak, Anil Kumar Yadav, Anshuman Shastri
Expert Systems (2023) Vol. 40, Iss. 6
Closed Access | Times Cited: 2
Application of wavelet ratio between acoustic emission and cutting force signal decomposing in intelligent monitoring of cutting tool wear when turning SKD 61
Dung Hoang Tien, Pham Thi Thieu Thoa, Trinh Nguyen Duy
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 1, pp. 525-539
Closed Access | Times Cited: 2
An Investigation on Effect of Inorganic Reinforcement Materials and Taguchi-Based Optimization on Manufacturing of Hybrid Composites (AI7068)
R. Hemanth Kumar, Vishnukanthan Venkatachalapathy, Thiagarajan Arumugam, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
On-Line Tool Wear Prediction Based on Cutting Force Coefficients Identification Using Neural Network
Guicheng Wang, Min Wang, Peng Gao, et al.
(2024)
Closed Access
Fourier Features and Machine Learning for the Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM)
Manuel Meraz Méndez, Juan A. Ramírez Quintana, Elva Lilia Reynoso-Jardón, et al.
(2024)
Open Access
Fourier Features and Machine Learning for Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM)
Manuel Meraz Méndez, Juan A. Ramírez-Quintana, Elva Lilia Reynoso-Jardón, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8144-8144
Open Access
Extended Reality Applications for CNC Machine Training: A Systematic Review
José Manuel Ibarra Kwick, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, et al.
Multimodal Technologies and Interaction (2024) Vol. 8, Iss. 9, pp. 80-80
Open Access
Leveraging metaheuristic algorithms with improved hybrid prediction model framework for enhancing surface roughness optimization in CNC turning AISI 316
Kristin S. Bennett, Jose M. DePaiva, Eniko Lazar, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 5-6, pp. 1955-1983
Closed Access
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