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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:

Machine vision based adaptive online condition monitoring for milling cutter under spindle rotation
Zhichao You, Hongli Gao, Liang Guo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 171, pp. 108904-108904
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Collaborative manufacturing technologies of structure shape and surface integrity for complex thin-walled components of aero-engine: Status, challenge and tendency
Biao Zhao, Wenfeng Ding, Zhongde SHAN, et al.
Chinese Journal of Aeronautics (2023) Vol. 36, Iss. 7, pp. 1-24
Open Access | Times Cited: 85
Study on milling tool wear morphology and mechanism during machining superalloy GH4169 with PVD-TiAlN coated carbide tool
Junhua Liang, Hongli Gao, Dengwan Li, et al.
Tribology International (2023) Vol. 182, pp. 108298-108298
Closed Access | Times Cited: 41
Physical model-based tool wear and breakage monitoring in milling process
Xing Zhang, Yang Gao, Zhuocheng Guo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109641-109641
Closed Access | Times Cited: 52
Research on tool wear morphology and mechanism during turning nickel-based alloy GH4169 with PVD-TiAlN coated carbide tool
Junhua Liang, Hongli Gao, Shoubing Xiang, et al.
Wear (2022) Vol. 508-509, pp. 204468-204468
Open Access | Times Cited: 50
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
Application of machine vision for tool condition monitoring and tool performance optimization–a review
Tiyamike Banda, Ali Akhavan Farid, Chuan Li, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 11-12, pp. 7057-7086
Closed Access | Times Cited: 28
Toward practical tool wear prediction paradigm with optimized regressive Siamese neural network
Jian Duan, Jianqiang Liang, Xinjia Yu, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102200-102200
Closed Access | Times Cited: 17
Prediction tool wear using improved deep extreme learning machines based on the sparrow search algorithm
Zhou Wen-jun, Xiaoping Xiao, Zisheng Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046112-046112
Closed Access | Times Cited: 5
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
Tool wear monitoring based on the combination of machine vision and acoustic emission
Meiliang Chen, Mengdan Li, Linfeng Zhao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 7-8, pp. 3881-3897
Closed Access | Times Cited: 14
Tool wear monitoring based on scSE-ResNet-50-TSCNN model integrating machine vision and force signals
Peng Nie, Yaosheng Chen Yunxue Guo, Bixuan Lou, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086117-086117
Closed Access | Times Cited: 5
Notifying Type-2 Error and Segregating Undefined Conditions in Health Monitoring of Milling Cutter: A Statistical and Deep Learning Approach
Aditya Sanju, Abhishek D. Patange, Aditya M. Rahalkar, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Precise measurement of geometric and physical quantities in cutting tools inspection and condition monitoring: A review
Wenqi Wang, Wei Liu, Yang Zhang, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 23-53
Open Access | Times Cited: 12
Tool wear image on-machine detection based on trajectory planning of 6-DOF serial robot driven by digital twin
Wei Xia, Xianli Liu, Caixu Yue, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 7-8, pp. 3761-3775
Closed Access | Times Cited: 9
A visual measurement method of structural body vibration displacement combined with image deblurring
Yang Zhu, Sen Wang, Tao Liu, et al.
Measurement (2023) Vol. 211, pp. 112598-112598
Closed Access | Times Cited: 9
A Novel Piecewise Cubic Hermite Interpolating Polynomial-Enhanced Convolutional Gated Recurrent Method under Multiple Sensor Feature Fusion for Tool Wear Prediction
Jigang He, Luyao Yuan, Haotian Lei, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1129-1129
Open Access | Times Cited: 3
Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining
Ali Erçetin, Oğuzhan Der, Fatih Akkoyun, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 6, pp. 244-244
Open Access | Times Cited: 3
Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance
Lei Guo, Zhengcong Duan, Wanjin Guo, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 8, pp. 4201-4216
Closed Access | Times Cited: 7
Tapping process fault identification by LSTM neural network based on torque signal singularity feature
Ting Chen, Jianming Zheng, Chao Peng, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 3, pp. 1123-1133
Closed Access | Times Cited: 2
Enhancing Measurement Precision for Rotor Vibration Displacement via a Progressive Video Super Resolution Network
Qixuan He, Sen Wang, Tao Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Remaining useful life prediction of milling cutters based on long-term data sequence and parallel fully convolutional feature learning
Liang Chen, Hongli Gao, Liang Guo, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Online Chatter Identification for Thin-Walled Parts Machining Based on Improved Multisensor Signal Fusion and Multiscale Entropy
Haibo Liu, Huanhuan Miao, Chengxin Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 5
Dynamic milling force model considering vibration and tool flank wear width for monitoring tool states in machining of Ti-6AI-4V
Junjin Ma, Yujie Zhang, Jiao Feng, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 1519-1540
Closed Access | Times Cited: 1
Multi-scale hybrid attention aggregation networks for multi-modal monitoring in laser-induced thermal-crack processing
Chunyang Zhao, Jiayan Sun, Jingyi Fang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111883-111883
Closed Access | Times Cited: 1
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
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