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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:

Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors
Jitesh Ranjan, Karali Patra, Tibor Szalay, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 885-885
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Mustafa Kuntoğlu, H. Saĝlam
Measurement (2020) Vol. 173, pp. 108582-108582
Closed Access | Times Cited: 154
Ventilation Diagnosis of Angle Grinder Using Thermal Imaging
Adam Głowacz
Sensors (2021) Vol. 21, Iss. 8, pp. 2853-2853
Open Access | Times Cited: 152
A critical review on mechanical micro-drilling of glass and carbon fibre reinforced polymer (GFRP and CFRP) composites
Norbert Geier, Karali Patra, Ravi Shankar Anand, et al.
Composites Part B Engineering (2023) Vol. 254, pp. 110589-110589
Open Access | Times Cited: 58
Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
Mustafa Kuntoğlu, Abdullah Aslan, Danil Yurievich Pimenov, et al.
Materials (2020) Vol. 13, Iss. 19, pp. 4242-4242
Open Access | Times Cited: 103
Thermographic Fault Diagnosis of Ventilation in BLDC Motors
Adam Głowacz
Sensors (2021) Vol. 21, Iss. 21, pp. 7245-7245
Open Access | Times Cited: 80
A state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Mustafa Kuntoğlu, Emin Salur, Munish Kumar Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 116, Iss. 9-10, pp. 2711-2735
Closed Access | Times Cited: 78
Drilling fibre reinforced polymer composites (CFRP and GFRP): An analysis of the cutting force of the tilted helical milling process
Csongor Pereszlai, Norbert Geier, Dániel István Poór, et al.
Composite Structures (2021) Vol. 262, pp. 113646-113646
Open Access | Times Cited: 67
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
Bianca Caiazzo, Mario Di Nardo, Teresa Murino, et al.
Computers in Industry (2021) Vol. 134, pp. 103548-103548
Closed Access | Times Cited: 64
Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
Rüstem Binali, Mustafa Kuntoğlu, Danil Yurievich Pimenov, et al.
Measurement (2022) Vol. 201, pp. 111757-111757
Open Access | Times Cited: 48
Evaluation of Cutting-Tool Coating on the Surface Roughness and Hole Dimensional Tolerances during Drilling of Al6061-T651 Alloy
Hamza A. Al-Tameemi, Thamir Al-Dulaimi, Michael Oluwatobiloba Awe, et al.
Materials (2021) Vol. 14, Iss. 7, pp. 1783-1783
Open Access | Times Cited: 53
Investigation on universal tool wear measurement technique using image-based cross-correlation analysis
Ka Mun Fong, Xin Wang, Shahrul Kamaruddin, et al.
Measurement (2020) Vol. 169, pp. 108489-108489
Closed Access | Times Cited: 52
An improved empirical wavelet transform and sensitive components selecting method for bearing fault
Qingqing Liu, Jiangtian Yang, Kun Zhang
Measurement (2021) Vol. 187, pp. 110348-110348
Closed Access | Times Cited: 47
Study of Diamond-Like Carbon coating application on carbide substrate for cutting tools used in the drilling process of an Al–Si alloy at high cutting speeds
Paulo Sérgio Martins, Pedro Américo Almeida Magalhães Júnior, José Rubens Gonçalves Carneiro, et al.
Wear (2022) Vol. 498-499, pp. 204326-204326
Closed Access | Times Cited: 32
Efficient low-carbon manufacturing for CFRP composite machining based on deep networks
Huang Shunhu, Ma Feng, Qingshan Gong, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 17, pp. 6090-6101
Closed Access | Times Cited: 5
Machine learning approach for prediction of hole oversize using acoustic emission signal features in ultrasonic machining of inconel 718
Mehdi Mehtab Mirad, Bipul Kumar Das
International Journal of Computer Integrated Manufacturing (2025), pp. 1-15
Closed Access
Development of High-Resolution Micro-Hole Torque Sensor and Small-Size High-Speed Processing Device
Yuji OGUCHI, Keigo Oguchi, Kazuhiko SAKAKI, et al.
Journal of the Japan Society for Precision Engineering (2025) Vol. 91, Iss. 2, pp. 171-176
Closed Access
Development of Flank Wear and Surface Roughness Prognosis System in Lathe Machine Based on an Affordable Monitoring System
Muhamad Aditya Royandi, Rio Muhammad Hernawan, Junzhi Lin, et al.
Lecture notes in mechanical engineering (2025), pp. 163-171
Closed Access
Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns
Ngoc-Tri Ngo, An Le Hoang, Thi-Phuong-Trang Pham
Neural Computing and Applications (2021) Vol. 33, Iss. 14, pp. 8525-8542
Closed Access | Times Cited: 28
Productivity Enhancement by Prediction of Liquid Steel Breakout during Continuous Casting Process in Manufacturing of Steel Slabs in Steel Plant Using Artificial Neural Network with Backpropagation Algorithms
Md Obaidullah Ansari, Somnath Chattopadhyaya, Joyjeet Ghose, et al.
Materials (2022) Vol. 15, Iss. 2, pp. 670-670
Open Access | Times Cited: 21
Tool and Workpiece Condition Classification Using Empirical Mode Decomposition (EMD) with Hilbert–Huang Transform (HHT) of Vibration Signals and Machine Learning Models
Isaac O. Olalere, Oludolapo Akanni Olanrewaju
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2248-2248
Open Access | Times Cited: 12
A novel remaining useful life prediction method based on gated attention mechanism capsule neural network
Chengying Zhao, Xianzhen Huang, Yuxiong Li, et al.
Measurement (2021) Vol. 189, pp. 110637-110637
Closed Access | Times Cited: 24
Tool wear classification in precision machining using distance metrics and unsupervised machine learning
Debasish Mishra, Utsav Awasthi, Krishna R. Pattipati, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 9
Gaussian mixture model for tool condition monitoring
Debasish Mishra, Krishna R. Pattipati, George M. Bollas
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1001-1013
Closed Access | Times Cited: 3
Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining
Ali Erçetin, Oğuzhan Der, Fatih Akkoyun, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 6, pp. 244-244
Open Access | Times Cited: 3
Study on roughness and form errors linked with tool wear in the drilling process of an Al-Si alloy under high cutting speed using coated diamond-like carbon high-speed steel drill bits
Paulo Sérgio Martins, José Rubens Gonçalves Carneiro, Elhadji Cheikh Talibouya Ba, et al.
Journal of Manufacturing Processes (2021) Vol. 62, pp. 711-719
Closed Access | Times Cited: 21
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