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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:

Mill condition monitoring based on instantaneous identification of specific force coefficients under variable cutting conditions
Luca Bernini, Paolo Albertelli, Michele Monno
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109820-109820
Open Access | Times Cited: 24

Showing 24 citing articles:

On-line tool wear monitoring under variable milling conditions based on a condition-adaptive hidden semi-Markov model (CAHSMM)
Shichao Yan, Liang Sui, Siqi Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110644-110644
Closed Access | Times Cited: 26
A review of the use of cryogenic coolant during machining titanium alloys
Tharmalingam Sivarupan, Michael Bermingham, Chi‐Ho Ng, et al.
Sustainable materials and technologies (2024) Vol. 40, pp. e00946-e00946
Closed Access | Times Cited: 11
A milling tool wear predicting method with processing generalization capability
Mingjian Sun, Yunlong Han, Kai Guo, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 975-1001
Closed Access | Times Cited: 11
An online monitoring method of milling cutter wear condition driven by digital twin
Xintian Zi, Shangshang Gao, Yang Xie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Self-adaptive fusion of local-temporal features for tool condition monitoring: A human experience free model
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110310-110310
Closed Access | Times Cited: 16
Instantaneous contact area-based model for shear strength sensitive cutting coefficients characterization of anisotropic parts
José David Pérez-Ruiz, Luís Norberto López de Lacalle, Gorka Urbikaín, et al.
Engineering Science and Technology an International Journal (2024) Vol. 52, pp. 101650-101650
Open Access | Times Cited: 6
Bayesian monitoring of machining processes using non-intrusive sensing and on-machine comparator measurement
Moschos Papananias
The International Journal of Advanced Manufacturing Technology (2025)
Open Access
Physics-informed Gaussian process for tool wear prediction
Kunpeng Zhu, Cheng-Yi Huang, Si Li, et al.
ISA Transactions (2023) Vol. 143, pp. 548-556
Closed Access | Times Cited: 10
Research on surface integrity and its influencing factors in the high-speed cutting of typical aluminum/titanium/nickel alloys: a review
Dongkai Wang
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 9-10, pp. 4915-4942
Closed Access | Times Cited: 8
Milling Tool Wear Monitoring via the Multichannel Cutting Force Coefficients
Qingqing Xing, Xiaoping Zhang, Shuang Wang, et al.
Machines (2024) Vol. 12, Iss. 4, pp. 249-249
Open Access | Times Cited: 2
Developing an easy-to-use image-based system for offline tool-wear detection
Huan-Kai Chau, C.C. Yang, Tsung‐Chieh Yang, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 2
Mechanism-informed friction-dynamics coupling GRU neural network for real-time cutting force prediction
Yinghao Cheng, Yingguang Li, Qiyang Zhuang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111749-111749
Closed Access | Times Cited: 2
Distributed deep learning enabled prediction on cutting tool wear and remaining useful life
Weidong Li, Xiaoyang Zhang, Sheng Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2023) Vol. 237, Iss. 14, pp. 2203-2213
Closed Access | Times Cited: 4
Tool Wear Monitoring Based on the Gray Wolf Optimized Variational Mode Decomposition Algorithm and Hilbert–Huang Transformation in Machining Stainless Steel
Wei Wei, Guichao He, Jingyi Yang, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 806-806
Open Access | Times Cited: 4
Physics-informed inhomogeneous wear identification of end mills by online monitoring data
Guochao Li, S. Xu, Ru Jiang, et al.
Journal of Manufacturing Processes (2024) Vol. 132, pp. 759-771
Closed Access | Times Cited: 1
A real-time intelligent method to identify mechanistic cutting force coefficients in 3-axis ball-end milling process using stochastic gradient decent: the mechanistic network
Mahmoodreza Forootan, Javad Akbari, Mohammad Ghorbani
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 7-8, pp. 2949-2968
Closed Access | Times Cited: 4
Optimizations of Cutting Coefficients in Milling with Population Based Meta-Heuristic Algorithms and Modelling of Cutting Forces
Bayram Sercan Bayram, Ümit Atila, İhsan Korkut
Research Square (Research Square) (2024)
Open Access
Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement
Dariusz Mazurkiewicz, Piotr Sobecki, Tomasz Żabiński, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123945-123945
Closed Access
Research on milling cutter wear monitoring based on self-learning feature boundary model
Xuchen Hou, Wei Xia, Xianli Liu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1789-1807
Closed Access
Hybrid heterogeneous prognosis of drill-bit lives through model-based spindle power analysis and direct tool inspection
Luca Bernini, Paolo Albertelli, Michele Monno
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 5-6, pp. 2645-2660
Closed Access
Robust tool condition monitoring in Ti6Al4V milling based on specific force coefficients and growing self-organizing maps
Luca Bernini, Paolo Albertelli, Michele Monno
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 9-10, pp. 3761-3774
Open Access | Times Cited: 1
Tool Condition Monitoring Based on Nonlinear Output Frequency Response Functions and Multivariate Control Chart
Yufei Gui, Zi–Qiang Lang, Zepeng Liu, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 1
Gaussian Mixture Model-Based Binary Segmentation for Cfrp/Aluminum Stacks Drilling-Countersinking Monitoring Signal
Changgen Li, Yuncong Lei, Liang Guo, et al.
(2023)
Closed Access
Instantaneous Contact Area-Based Model for Shear Strength Sensitive Cutting Coefficients Characterization of Anisotropic Lpbf Parts
José David Pérez-Ruiz, Luís Norberto López de Lacalle, Gorka Urbikaín, et al.
(2023)
Closed Access
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