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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 monitoring model of micro-milling force incorporating tool wear prediction process
Pengfei Ding, Xianzhen Huang, Chengying Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119886-119886
Closed Access | Times Cited: 19

Showing 19 citing articles:

Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications
Sumika Chauhan, Govind Vashishtha, Munish Kumar Gupta, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111389-111389
Closed Access | Times Cited: 17
Investigation of the tool flank wear influence on cutter-workpiece engagement and cutting force in micro milling processes
Shuaishuai Gao, Xianyin Duan, Kunpeng Zhu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111104-111104
Closed Access | Times Cited: 8
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model
Zhongyuan Che, Chong Peng, T. Warren Liao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124556-124556
Closed Access | Times Cited: 7
A multi-target predictive model for predicting tool wear and surface roughness
Guohao Song, Jianhua Zhang, Yingshang Ge, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123779-123779
Closed Access | Times Cited: 6
Tool wear in micromilling: a review
Ali Mamedov, Ali Dinç, Mehmet Ali Güler, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
In-situ monitoring and wear warning of MAO-Al/resin coatings by interface triboelectrification
Pengfei Wang, Yange Feng, Zixiang Wu, et al.
Journal of Alloys and Compounds (2025), pp. 179577-179577
Closed Access
Prediction of surface roughness in duplex stainless steel top milling using machine learning techniques
Guilherme Augusto Vilas Boas Vasconcelos, Matheus Brendon Francisco, Carlos Henrique de Oliveira, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 5-6, pp. 2939-2953
Closed Access | Times Cited: 2
Dynamic stability simulation of micro-milling under the condition of multi-parameter uncertainty
Pengfei Ding, Xianzhen Huang, Xinglin Miao, et al.
Probabilistic Engineering Mechanics (2023) Vol. 74, pp. 103499-103499
Closed Access | Times Cited: 7
A novel pre-trained model based on graph-labeling graph neural networks for tool wear prediction under variable working conditions
Haitao Xu, Xu Yang, Wei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125026-125026
Closed Access | Times Cited: 6
Time-varying dynamic modeling of micro-milling considering tool wear and the process parameter identification
Pengfei Ding, Xianzhen Huang, Yuxiong Li
Mechanics Based Design of Structures and Machines (2024) Vol. 52, Iss. 11, pp. 8658-8684
Closed Access | Times Cited: 1
Online Tool Condition Monitoring of Milling Machining Based on Time–frequency Analysis of Vibration Responses
Chun Li, Jiajie Liu, Fengshou Gu, et al.
Mechanisms and machine science (2024), pp. 807-818
Closed Access | Times Cited: 1
Sustainable optimization of micro-milling machining parameters considering reliability assessment
Pengfei Ding, Xianzhen Huang
Mechanics Based Design of Structures and Machines (2024), pp. 1-38
Closed Access | Times Cited: 1
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
SSFLNet: A Novel Fault Diagnosis Method for Double Shield TBM Tool System
Peng Zhou, C Liu, Jiacan Xu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2631-2631
Open Access
Research on online detection technology of triangular-blade tool grinding precision based on machine vision
Weijun Hong, Huawei Ji, Changhao Wang, et al.
Applied Optics (2024) Vol. 63, Iss. 24, pp. 6419-6419
Closed Access
Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data
Zongliang Xie, Zhipeng Zhang, Jinglong Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 26-39
Closed Access
Optimization of Tool Wear and Cutting Parameters in SCCO2-MQL Ultrasonic Vibration Milling of SiCp/Al Composites
Huiping Zhang, Bowen Wang, Liqiang Qu, et al.
Machines (2024) Vol. 12, Iss. 9, pp. 646-646
Open Access
Study of cutting force predictability, signal complexity of different end milling CWE stages with different modelling methods
Hui Xie, Guangxian Li, Andrew P. Longstaff, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access
Modeling and reliability analysis of the micro-milling process considering stochastic tool wear with surrogate models
Pengfei Ding, Xianzhen Huang, Zhiming Rong, et al.
Mechanics Based Design of Structures and Machines (2024), pp. 1-30
Closed Access
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