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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:

Feature extraction using dominant frequency bands and time-frequency image analysis for chatter detection in milling
Yun Chen, Huaizhong Li, Liang Hou, et al.
Precision Engineering (2018) Vol. 56, pp. 235-245
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Effective multi-sensor data fusion for chatter detection in milling process
Minh‐Quang Tran, Meng‐Kun Liu, Mahmoud Elsisi
ISA Transactions (2021) Vol. 125, pp. 514-527
Closed Access | Times Cited: 106
Chatter detection in milling processes—a review on signal processing and condition classification
John Henry Navarro-Devia, Yun Chen, Dzung Viet Dao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 3943-3980
Open Access | Times Cited: 45
Unlocking the potential of FTIR for corrosion inhibition prediction exploiting principal component analysis: Machine learning for QSPR modeling
Ahmad‐Reza Sadeghi, M. Shariatmadar, S. Amoozadeh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2025) Vol. 169, pp. 105998-105998
Closed Access | Times Cited: 1
Self-optimizing machining systems
Hans‐Christian Möhring, Petra Wiederkehr, Kaan Erkorkmaz, et al.
CIRP Annals (2020) Vol. 69, Iss. 2, pp. 740-763
Closed Access | Times Cited: 98
Milling chatter detection using scalogram and deep convolutional neural network
Minh‐Quang Tran, Meng‐Kun Liu, Quoc‐Viet Tran
The International Journal of Advanced Manufacturing Technology (2020) Vol. 107, Iss. 3-4, pp. 1505-1516
Closed Access | Times Cited: 93
On-line chatter detection in milling with hybrid machine learning and physics-based model
M. Hossein Rahimi, Hoai Nam Huynh, Yusuf Altintaş
CIRP journal of manufacturing science and technology (2021) Vol. 35, pp. 25-40
Closed Access | Times Cited: 77
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis
Minh‐Quang Tran, Mahmoud Elsisi, Meng‐Kun Liu
Measurement (2021) Vol. 184, pp. 109962-109962
Closed Access | Times Cited: 76
A novel chatter detection method for milling using deep convolution neural networks
Batıhan Şener, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu, et al.
Measurement (2021) Vol. 182, pp. 109689-109689
Closed Access | Times Cited: 67
Concentrated velocity synchronous linear chirplet transform with application to robotic drilling chatter monitoring
Chengjin Qin, Dengyu Xiao, Jianfeng Tao, et al.
Measurement (2022) Vol. 194, pp. 111090-111090
Closed Access | Times Cited: 53
Online chatter detection in milling process based on fast iterative VMD and energy ratio difference
Pengfei Zhang, Dong Gao, Yong Lü, et al.
Measurement (2022) Vol. 194, pp. 111060-111060
Closed Access | Times Cited: 46
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
Variational time-domain decomposition of reciprocating machine multi-impact vibration signals
Nanyang Zhao, Jinjie Zhang, Wensheng Ma, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 108977-108977
Closed Access | Times Cited: 34
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
Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives
Peng Wang, Qingshun Bai, Kai Cheng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109617-109617
Closed Access | Times Cited: 31
Deep learning for the detection of machining vibration chatter
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
Advances in Engineering Software (2023) Vol. 180, pp. 103445-103445
Open Access | Times Cited: 21
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
Intelligent chatter detection using image features and support vector machine
Yun Chen, Huaizhong Li, Xiubing Jing, et al.
The International Journal of Advanced Manufacturing Technology (2019) Vol. 102, Iss. 5-8, pp. 1433-1442
Closed Access | Times Cited: 45
Heterogeneous sensors-based feature optimisation and deep learning for tool wear prediction
Xiaoyang Zhang, Sheng Wang, Weidong Li, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 9-10, pp. 2651-2675
Closed Access | Times Cited: 36
Early chatter detection in thin-walled workpiece milling process based on multi-synchrosqueezing transform and feature selection
Shichao Yan, Yuwen Sun
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108622-108622
Closed Access | Times Cited: 34
An adaptive grinding chatter detection method considering the chatter frequency shift characteristic
Yao Liu, Xiufeng Wang, Jing Lin, et al.
Mechanical Systems and Signal Processing (2020) Vol. 142, pp. 106672-106672
Closed Access | Times Cited: 38
Review of AI-based methods for chatter detection in machining based on bibliometric analysis
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 5-6, pp. 2161-2186
Open Access | Times Cited: 20
Chatter detection for milling using novel p-leader multifractal features
Yun Chen, Huaizhong Li, Liang Hou, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 1, pp. 121-135
Closed Access | Times Cited: 28
Time-frequency visual representation and texture features for audio applications: a comprehensive review, recent trends, and challenges
Yogita Mistry, Gajanan K. Birajdar, Archana M. Khodke
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36143-36177
Closed Access | Times Cited: 10
Online tool condition monitoring in micromilling using LSTM
Ashish Manwar, Alwin Varghese, Sumant Bagri, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 10
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning
Özlem Karabiber Cura, Aydın Akan
International Journal of Neural Systems (2020) Vol. 31, Iss. 05, pp. 2150005-2150005
Closed Access | Times Cited: 25
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