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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:

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

Showing 1-25 of 46 citing articles:

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
Multitype chatter detection via multichannelinternal and external signals in robotic milling
Kenan Deng, Lijun Yang, Yong Lü, et al.
Measurement (2024) Vol. 229, pp. 114417-114417
Closed Access | Times Cited: 16
State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement
Jiefu Sun, Chao Sun, Zheping Yan, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access | Times Cited: 2
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: 29
Vibration-induced cavitation in cylinder liners caused by piston slaps
Dong Liu, Guoxing Li, Nannan Sun, et al.
International Journal of Mechanical Sciences (2024) Vol. 267, pp. 109025-109025
Closed Access | Times Cited: 9
Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network
Pengfei Zhang, Dong Gao, Yong Lü, et al.
Measurement (2022) Vol. 199, pp. 111520-111520
Closed Access | Times Cited: 25
An interpretable anti-noise convolutional neural network for online chatter detection in thin-walled parts milling
Yezhong Lu, Haifeng Ma, Yuxin Sun, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110885-110885
Closed Access | Times Cited: 14
A hybrid deep learning-based approach for on-line chatter detection in milling using deep stem-inception networks and residual channel-spatial attention mechanisms
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112357-112357
Closed Access
Extraction and Assessment of Features Using Shannon Entropy and Rényi Entropy for Chatter Detection in Micro Milling
Zehui Zheng, Xiubing Jing, Bowen Song, et al.
Micromachines (2025) Vol. 16, Iss. 2, pp. 161-161
Open Access
A novel identification method for grinding chatter based on multifractal theory and variational mode decomposition
Han Wu, Xifang Zhang, Zhenqiang Yao
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
The Influence of Variational Mode Decomposition on LSTM Prediction Accuracy - A Case Study with Wind Turbine Power Signals
Mingkun Fang, Fangfang Zhang, Di Zhu, et al.
Renewable Energy (2025), pp. 122863-122863
Closed Access
Advances in Acoustic Emission Monitoring for Grinding of Hard and Brittle Materials
Zhiqi Fan, Chengwei Kang, Xuliang Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition
Jing-Wei Tang, Ying‐Ren Chien
Sensors (2022) Vol. 22, Iss. 19, pp. 7414-7414
Open Access | Times Cited: 21
Improving purity of blasting vibration signals using advanced Empirical Mode Decomposition and Wavelet packet technique
Zilong Zhou, Jinkun Zhang, Ruishan Cheng, et al.
Applied Acoustics (2022) Vol. 201, pp. 109097-109097
Closed Access | Times Cited: 21
An intelligent milling chatter detection method based on VMD-synchro-squeeze wavelet and transfer learning via deep CNN with vibration signals
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 1-2, pp. 629-657
Closed Access | Times Cited: 12
A hybrid physics-data-driven surface roughness prediction model for ultra-precision machining
Long Bai, Qizhong Yang, Xin Cheng, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 5, pp. 1289-1303
Closed Access | Times Cited: 9
Investigation on a chatter detection method based on meta learning for machining multiple types of workpieces
Haiyong Sun, Hongyu Jin, Yue Zhuo, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1815-1832
Closed Access | Times Cited: 3
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection
Chen Yin, Yulin Wang, Jeong Hoon Ko, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1867-1885
Closed Access | Times Cited: 7
Adaptive threshold discrimination and synchronous squeezing transform for high-speed milling chatter detection
Jianghai Shi, Dialoke Ejiofor Matthew, Weijun Tian, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 619-640
Closed Access | Times Cited: 2
A Method for the Pattern Recognition of Acoustic Emission Signals Using Blind Source Separation and a CNN for Online Corrosion Monitoring in Pipelines with Interference from Flow-Induced Noise
Xueqin Wang, Shilin Xu, Ying Zhang, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5991-5991
Open Access | Times Cited: 2
Traffic Flow Prediction in 5G-Enabled Intelligent Transportation Systems Using Parameter Optimization and Adaptive Model Selection
Hanh Hong-Phuc Vo, Thuan Minh Nguyen, Khoi Anh Bui, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6529-6529
Open Access | Times Cited: 2
Short-term PV power prediction based on VMD-CNN-IPSO-LSSVM hybrid model
Jianjian Jiang, Shizhao Hu, Liang Xu, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 1160-1167
Open Access | Times Cited: 2
Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel–Ziv Complexity under Varying Conditions
Haobo Wang, Tongguang Yang, Qingkai Han, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4044-4044
Open Access | Times Cited: 5
Milling chatter detection based on information entropy of interval frequency
Shaoke Wan, Shuo Liu, Xiaohu Li, et al.
Measurement (2023) Vol. 220, pp. 113328-113328
Closed Access | Times Cited: 5
Prediction, detection, and suppression of regenerative chatter in milling
Bo Liu, Changfu Liu, Xinli Yu, et al.
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 10, pp. 168781322211297-168781322211297
Open Access | Times Cited: 8
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