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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:

Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis
Yunus Emre Karabacak
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 14

Showing 14 citing articles:

Optimized VMD and novel ECK-Venn based approach to IMF selection for chatter and tool wear classification
Neha Patel, Rajiv Nandan
Journal of Mechanical Science and Technology (2025) Vol. 39, Iss. 1, pp. 95-118
Closed Access | Times Cited: 1
Intelligent milling tool wear estimation based on machine learning algorithms
Yunus Emre Karabacak
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 2, pp. 835-850
Closed Access | Times Cited: 7
Predicting Mechanical Behavior of Different Thin-Walled Tubes Using Data-Driven Models
Hamdi Kuleyi̇n, Yunus Emre Karabacak, Recep Gümrük
Materials Today Communications (2024) Vol. 40, pp. 109998-109998
Closed Access | Times Cited: 4
Multi-Modal Explainable Artificial Intelligence for neural network-based tool wear detection in machining
Saleh Valizadeh Sotubadi, Shyam Sasi Pallissery, Nguyễn Xuân Vinh
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110141-110141
Closed Access
Multi-objective optimization of machining parameters in complete peripheral milling process with variable curvature workpieces
Chunxiao Li, Guoyong Zhao, Fan‐Rui Meng, et al.
Journal of Manufacturing Processes (2024) Vol. 117, pp. 95-110
Closed Access | Times Cited: 3
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods
Manuchehr Soleimani, Tomasz Rymarczyk, Grzegorz Kłosowski
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Open Access | Times Cited: 4
Condition monitoring of a CNC hobbing cutter using machine learning approach
Nagesh Tambake, Bhagyesh Deshmukh, Sujit S. Pardeshi, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 9
Open Access | Times Cited: 1
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
Process machining allowance for reliability analysis of mechanical parts based on hidden quality loss
Jingang Wang, Xintian Liu, Xu Wang, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 4
Open Access | Times Cited: 2
Testing and modeling the possibility of using a lamellar grinding wheel with an adaptive background structure
Wojciech Zębala, Stanisław Młynarski, Łukasz Ślusarczyk
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 2
Open Access
Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts
Juras Skardžius, Saulius Nagurnas, Paulius Skačkauskas
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 3
Open Access
A Method for Predicting Tool Remaining Useful Life: Utilizing BiLSTM Optimized by an Enhanced NGO Algorithm
Jianwei Wu, Jiaqi Wang, Huanguo Chen
Mathematics (2024) Vol. 12, Iss. 15, pp. 2404-2404
Open Access
A threshold-based and neural network approach for multi-tooth milling cutter tool breakage monitoring
Liu Huan, Shuhao Kang, Ziting Li, et al.
(2024), pp. 61-61
Closed Access
Fault Diagnosis of Suspension System Based on Spectrogram Image and Vision Transformer
P. Arun Balaji, Naveen Venkatesh Sridharan, V. Sugumaran
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 26, Iss. 1
Open Access | Times Cited: 1
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