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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:

On-line milling cutter wear monitoring in a wide field-of-view camera
Zhichao You, Hongli Gao, Liang Guo, et al.
Wear (2020) Vol. 460-461, pp. 203479-203479
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Yuekai Liu, Liang Guo, Hongli Gao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108068-108068
Closed Access | Times Cited: 117
A machine vision method for measurement of machining tool wear
Jianbo Yu, Xun Cheng, Liang Lu, et al.
Measurement (2021) Vol. 182, pp. 109683-109683
Closed Access | Times Cited: 67
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
Tool wear intelligent monitoring techniques in cutting: a review
Yaonan Cheng, Xiaoyu Gai, Rui Guan, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 1, pp. 289-303
Closed Access | Times Cited: 32
Similarity-Measured Isolation Forest: Anomaly Detection Method for Machine Monitoring Data
Changgen Li, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 55
Application of machine vision method in tool wear monitoring
Ruitao Peng, Jiachen Liu, Xiuli Fu, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 116, Iss. 3-4, pp. 1357-1372
Closed Access | Times Cited: 47
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
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
A new time–space attention mechanism driven multi-feature fusion method for tool wear monitoring
Tingting Feng, Liang Guo, Hongli Gao, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 120, Iss. 7-8, pp. 5633-5648
Closed Access | Times Cited: 27
Tool wear monitoring through online measured cutting force and cutting temperature during face milling Inconel 718
Delin Liu, Zhanqiang Liu, Jinfu Zhao, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 2, pp. 729-740
Closed Access | Times Cited: 27
Sensors for in-process and on-machine monitoring of machining operations
Alborz Shokrani, Hakan Doğan, David Burian, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 51, pp. 263-292
Open Access | Times Cited: 5
Enhanced tool condition monitoring using wavelet transform-based hybrid deep learning based on sensor signal and vision system
Ahmed Abdeltawab, Xi Zhang, Zhang longjia
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 9-10, pp. 5111-5140
Closed Access | Times Cited: 4
On-machine detection of face milling cutter damage based on machine vision
Jiaxu Qu, Caixu Yue, Jiaqi Zhou, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 3-4, pp. 1865-1879
Closed Access | Times Cited: 4
A visual analytical method for evaluating tool flank wear volumes of micro-milling cutters with AKAZE features matching: A preliminary study
Yu Zhang, Shuaishuai Gao, Xianyin Duan, et al.
Wear (2025) Vol. 564-565, pp. 205739-205739
Closed Access
Tool wear monitoring by estimating milling torque and calculating the wear energy coefficient under variable depth of cut conditions
Defeng Peng, Hongkun Li, Bin Sun, et al.
ISA Transactions (2025)
Closed Access
Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring
Zhichao You, Hongli Gao, Shichao Li, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 69, Iss. 12, pp. 13656-13664
Closed Access | Times Cited: 19
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
Infrared Thermographic Fault Detection Using Machine Vision With Convolutional Neural Network for Blast Furnace Chute
Xiaoman Cheng, Shusen Cheng
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 14
On-line milling tool wear monitoring under practical machining conditions
Jigang He, Yi Sun, Hongli Gao, et al.
Measurement (2023) Vol. 222, pp. 113621-113621
Closed Access | Times Cited: 8
Estimation of Flank Wear in Turning of Nimonic C263 Super Alloy Based on Novel MSER Algorithm and Deep Patten Network
R. M. Bommi, C. Ezilarasan, M. P. Sudeshkumar, et al.
Russian Journal of Nondestructive Testing (2022) Vol. 58, Iss. 2, pp. 140-156
Closed Access | Times Cited: 13
Tool wear classification based on maximal overlap discrete wavelet transform and hybrid deep learning model
Ahmed Abdeltawab, Xi Zhang, Zhang longjia
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 5-6, pp. 2381-2406
Closed Access | Times Cited: 7
A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data
Alberto García-Pérez, María J. Gómez-Silva, Arturo de la Escalera-Hueso
Journal of Intelligent Manufacturing (2024)
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
Real-time wear monitoring of hob cutter based on statistical analysis
Yachao Jia, Guolong Li, Xin Dong
ISA Transactions (2022) Vol. 129, pp. 691-702
Closed Access | Times Cited: 10
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