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:

Two new kurtosis-based similarity evaluation indicators for grinding chatter diagnosis under non-stationary working conditions
Liming Wang, Jiangli Pan, Yimin Shao, et al.
Measurement (2021) Vol. 176, pp. 109215-109215
Closed Access | Times Cited: 24

Showing 24 citing articles:

Chatter detection methods in the machining processes: A review
Weikang Wang, Min Wan, Weihong Zhang, et al.
Journal of Manufacturing Processes (2022) Vol. 77, pp. 240-259
Closed Access | Times Cited: 84

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

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: 52

Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring
Tongtong Yan, Xueqi Xing, Dong Wang, et al.
Information Fusion (2025) Vol. 117, pp. 102935-102935
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

Advancing chatter detection: Harnessing the strength of wavelet synchrosqueezing transform and Hilbert-Huang transform techniques
Dialoke Ejiofor Matthew, Hongrui Cao, Jianghai Shi
Journal of Manufacturing Processes (2024) Vol. 127, pp. 613-630
Closed Access | Times Cited: 4

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

An End-to-End Inclination State Monitoring Method for Collaborative Robotic Drilling Based on Resnet Neural Network
Lu Qian, Peifeng Liu, Hao Lu, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1095-1095
Open Access | Times Cited: 3

Chatter detection in camshaft high-speed grinding process based on VMD parametric optimization
Tao Liu, Zhaohui Deng, Chengyao Luo, et al.
Measurement (2021) Vol. 187, pp. 110133-110133
Closed Access | Times Cited: 25

A Multi-Indicator Fusion-Based Approach for Fault Feature Selection and Classification of Rolling Bearings
Cheng Peng, Yuyao Ouyang, Weihua Gui, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 8635-8643
Closed Access | Times Cited: 15

Clustering Application for Condition-Based Maintenance in Time-Varying Processes: A Review Using Latent Dirichlet Allocation
Elena Quatrini, Silvia Colabianchi, Francesco Costantino, et al.
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 814-814
Open Access | Times Cited: 12

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

Artificial intelligence for machining process monitoring
Hakkı Özgür Ünver, Ahmet Murat Özbayoğlu, Cem Söyleyici, et al.
Elsevier eBooks (2024), pp. 307-350
Closed Access | Times Cited: 2

Recent Progress of Chatter Detection and Tool Wear Online Monitoring in Machining Process: A Review and Future Prospects
Feng-ze Qin, Huajun Cao, Guibao Tao, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 12, Iss. 2, pp. 719-748
Closed Access | Times Cited: 2

Research on milling chatter identification of thin-walled parts based on incremental learning and multi-signal fusion
Mingwei Zhao, Caixu Yue, Xianli Liu
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 3925-3941
Open Access | Times Cited: 6

Multi-scale Deep Subspace Clustering Network with Hierarchical Fusion Mechanism for Mechanical Fault Diagnosis
Gang Wang, Mingfeng Lu
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1

A review of research on robot machining chatter
Zhiwu Liu, Zhaohui Deng, Lingxiao Yi, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1

Study on Self-Learning System for Milling Chatter Feature Based on Hybrid Preprocessing Model and Improved Convolutional Clustering
Pengcheng Guo, Sijie Cai, Shuixuan Chen, et al.
The International Journal of Acoustics and Vibration (2024) Vol. 29, Iss. 3, pp. 316-327
Open Access

Order-difference of normalized square envelope spectrum and its applications in early chatter detection of roll grinder
Chaoang Xiao, Lu Wang, Jianbo Yu
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112067-112067
Closed Access

A multi-scale model revealed in the grinding process and its influence on the grinding force and surface integrity
Xin Li, Xueping Zhang, Rajiv Shivpuri, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 5-6, pp. 2811-2832
Closed Access | Times Cited: 1

Clustering Application for Condition-based Maintenance in Time-varying Processes: A Review
Elena Quatrini, Silvia Colabianchi, Francesco Costantino, et al.
(2021)
Open Access | Times Cited: 1

On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
Zhixue Wang, Caixu Yue, Xianli Liu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 5-6, pp. 2001-2011
Closed Access

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