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:

Systematic review on tool breakage monitoring techniques in machining operations
Xuebing Li, Xianli Liu, Caixu Yue, et al.
International Journal of Machine Tools and Manufacture (2022) Vol. 176, pp. 103882-103882
Closed Access | Times Cited: 120

Showing 51-75 of 120 citing articles:

Mechanism-informed friction-dynamics coupling GRU neural network for real-time cutting force prediction
Yinghao Cheng, Yingguang Li, Qiyang Zhuang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111749-111749
Closed Access | Times Cited: 3

Leveraging artificial intelligence for real-time indirect tool condition monitoring: From theoretical and technological progress to industrial applications
Delin Liu, Zhanqiang Liu, Bing Wang, et al.
International Journal of Machine Tools and Manufacture (2024) Vol. 202, pp. 104209-104209
Closed Access | Times Cited: 3

Study on tool wear state recognition algorithm based on spindle vibration signals collected by homemade tool condition monitoring ring
Zhongling Xue, Liang Li, Youling Wu, et al.
Measurement (2023) Vol. 223, pp. 113787-113787
Closed Access | Times Cited: 8

Material recognition for fault diagnosis in machine tools using improved Mel Frequency Cepstral Coefficients
Jianjian Yuan, Lin Li, Hua Shao, et al.
Journal of Manufacturing Processes (2023) Vol. 98, pp. 67-79
Closed Access | Times Cited: 7

A novel cross-domain tool breakage monitoring method based on locality preserving joint transfer with intra-class compactness
Zhixin Xiao, Haifeng Ma, Qinghua Song, et al.
Journal of Manufacturing Processes (2024) Vol. 116, pp. 149-164
Closed Access | Times Cited: 2

An In-Depth Exploration of Unconventional Machining Techniques for INCONEL® Alloys
André F. V. Pedroso, Naiara P. V. Sebbe, F.J.G. Silva, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1197-1197
Open Access | Times Cited: 2

Research on tap breakage monitoring method for tapping process based on SSAELSTM fusion network
Ting Chen, Jianming Zheng, Chao Peng, et al.
Measurement (2024) Vol. 236, pp. 115076-115076
Closed Access | Times Cited: 2

An innovative multisource multibranch metric ensemble deep transfer learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102659-102659
Closed Access | Times Cited: 2

Multi-source online transfer learning based on hybrid physics-data model for cross-condition tool health monitoring
Biyao Qiang, Kaining Shi, Junxue Ren, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 1-17
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

Finite fatigue life behavior and fatigue crack-growth resistance of a fine-grained WC-Co cemented carbide
Maria Serra, F. García-Marro, N. Cinca, et al.
International Journal of Refractory Metals and Hard Materials (2024), pp. 107022-107022
Open Access | Times Cited: 2

Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies
Albert Weinert, T. David, Christopher O’Hara, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2313-2313
Open Access | Times Cited: 5

Unsupervised Detection of Tool Breakage: A Novel Approach Based on Time and Sensor Domain Data Analysis
Yufei Gui, Zi–Qiang Lang, Zepeng Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 5

Tool Wear State Recognition Based on One-Dimensional Convolutional Channel Attention
Zhongling Xue, Liang Li, Ni Chen, et al.
Micromachines (2023) Vol. 14, Iss. 11, pp. 1983-1983
Open Access | Times Cited: 5

Tool wear classification in milling for varied cutting conditions: with emphasis on data pre-processing
Kuan‐Ming Li, Yi-Yen Lin
The International Journal of Advanced Manufacturing Technology (2022) Vol. 125, Iss. 1-2, pp. 341-355
Closed Access | Times Cited: 8

Development of tool wear condition on-line monitoring method for impeller milling based on new data processing approach and DAE-BP-ANN-integrated modeling
Zheng Zou, Xu Gao, Si-Cong Lei, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2023) Vol. 238, Iss. 1-2, pp. 124-136
Closed Access | Times Cited: 4

Time-frequency analysis-based impulse feature extraction method for quantitative evaluation of milling tool wear
MingAng Guo, Xiaotong Tu, Saqlain Abbas, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1766-1778
Closed Access | Times Cited: 4

Integrated design and fabricate of high sensitivity built-in thin-film thermocouple temperature measurement tool
Jinguo Chen, Lin Ying, Dongxu Zhao, et al.
Journal of Mechanics (2024) Vol. 40, pp. 110-120
Open Access | Times Cited: 1

Research on chip flute design of variable pitch variable helix end milling cutter based on manufacturability
Haibin Yu, Minli Zheng, Wei Zhang, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 478-492
Open Access | Times Cited: 1

Wear behavior and impact breakage characterization of PCD teeth of circular saw blades during high-speed sawing of hard aluminum alloy
Jinyou Kang, Jinsheng Zhang, Heng Zhang, et al.
Wear (2024) Vol. 556-557, pp. 205534-205534
Closed Access | Times Cited: 1

Nanosecond laser structuring for enhanced pool boiling performance of SiC surfaces
Hakgae Kim, Euibeen Jung, Changyoung Ryu, et al.
Applied Surface Science (2024) Vol. 675, pp. 160977-160977
Closed Access | Times Cited: 1

Research progress on intelligent monitoring of tool condition based on deep learning
Dahu Cao, Wei Liu, Jimin Ge, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 5-6, pp. 2129-2150
Closed Access | Times Cited: 1

Experimental investigation of edge preparation for cemented carbide profile cutting tools using flexible abrasive jet polishing
Yimin Jiang, Ming Zhou, Yanqiu Zhu, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 427-439
Closed Access | Times Cited: 1

Mechanism Analysis and Prediction of Bull-Nose Cutter Wear in Multi-axis Milling of Ti6Al4V with TiAlN Coated Inserts
Yanjie Du, Yuwen Sun
Wear (2024), pp. 205580-205580
Closed Access | Times Cited: 1

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