Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review
Zhou Yang, Changfu Liu, Xinli Yu, et al.
SN Applied Sciences (2022) Vol. 4, Iss. 8
Open Access | Times Cited: 25

Showing 25 citing articles:

Tool wear and remaining useful life estimation in precision machining using interacting multiple model
Qian Yang, Debasish Mishra, Utsav Awasthi, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 367-386
Closed Access | Times Cited: 6
Intelligent milling tool wear estimation based on machine learning algorithms
Yunus Emre Karabacak
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 2, pp. 835-850
Closed Access | Times Cited: 5
A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 4
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5659-5659
Open Access | Times Cited: 13
Data- driven and knowledge- guided prediction model of milling tool life grade
Fuqiang Zhang, Fengli Xu, Xueliang Zhou, et al.
International Journal of Computer Integrated Manufacturing (2023) Vol. 37, Iss. 6, pp. 669-684
Closed Access | Times Cited: 13
Towards specific cutting energy analysis in the machining of Inconel 601 alloy under sustainable cooling conditions
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Hakan Yılmaz, et al.
Journal of Materials Research and Technology (2023) Vol. 27, pp. 4074-4087
Open Access | Times Cited: 13
Tool condition monitoring in micro milling of brittle materials
Zheng Gong, Dehong Huo
Precision Engineering (2024) Vol. 87, pp. 11-22
Open Access | Times Cited: 3
Research on tool wear classification of milling 508III steel based on chip spectrum feature
Rui Guan, Yaonan Cheng, Shilong Zhou, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 3-4, pp. 1531-1547
Closed Access | Times Cited: 3
Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models
Milind Shah, Himanshu Borade, Vipul Dave, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3484-3484
Open Access | Times Cited: 3
Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review
Sudhan Kasiviswanathan, G. Sakthivel, T. Mohanraj, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 53-53
Open Access | Times Cited: 3
A review on tool wear issues in drilling CFRP laminates
Jinyang Xu
Frontiers in Materials (2022) Vol. 9
Open Access | Times Cited: 13
Investigation of Tribological Properties of Inconel 601 under Environmentally Friendly MQL and Nano-Fluid MQL with Pack Boronizing
Gonca Uslu, Mehmet Erdi Korkmaz, Rajab Elkilani, et al.
Lubricants (2024) Vol. 12, Iss. 10, pp. 353-353
Open Access | Times Cited: 1
Methodology for Tool Wear Detection in CNC Machines Based on Fusion Flux Current of Motor and Image Workpieces
Geovanni Díaz-Saldaña, Roque A. Osornio‐Rios, Israel Zamudio-Ramírez, et al.
Machines (2023) Vol. 11, Iss. 4, pp. 480-480
Open Access | Times Cited: 4
A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials
Anton Panda, Volodymyr Nahornyi, Ján Valíček, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 9-10, pp. 3599-3612
Closed Access | Times Cited: 5
A novel intelligent tool wear monitoring system in ball end milling of Ti6Al4V alloy using artificial neural network
Shrimali Mihir Rameshchandra, Mithilesh K. Dikshit, Ajit Kumar, et al.
High Temperature Materials and Processes (2024) Vol. 43, Iss. 1
Open Access
State Monitoring and Anomaly Detection Algorithms for Electricity Meters Based on IoT Technology
Chunguang Wang, Tianfu Huang, Zhiwu Wu, et al.
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 5, pp. 3633-3640
Open Access
Fourier Features and Machine Learning for the Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM)
Manuel Meraz Méndez, Juan A. Ramírez Quintana, Elva Lilia Reynoso-Jardón, et al.
(2024)
Open Access
Fourier Features and Machine Learning for Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM)
Manuel Meraz Méndez, Juan A. Ramírez-Quintana, Elva Lilia Reynoso-Jardón, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8144-8144
Open Access
DeepTool: A Deep Learning Framework for Tool Wear Onset Detection and Remaining Useful Life Prediction.
Pooja Kamat, Satish Kumar, Ketan Kotecha
MethodsX (2024) Vol. 13, pp. 102965-102965
Open Access
A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Ali Eftekhari Milani, Donatella Zappalá, Simon Watson
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109477-109477
Open Access
Real-Time Acoustic Measurement System for Cutting-Tool Analysis During Stainless Steel Machining
Tom Salm, Kourosh Tatar, José Chilo
Machines (2024) Vol. 12, Iss. 12, pp. 892-892
Open Access
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)
Closed Access
A mixture distributions analysis based feature selection approach for bearing remaining useful life estimation
Fei Huang, Alexandre Sava, Kondo H. Adjallah, et al.
SN Applied Sciences (2023) Vol. 5, Iss. 11
Open Access | Times Cited: 1
Condition Monitoring and Remaining Useful Life Prediction for Tool Wear in CNC Machines
Perin Ünal, Seyithan Temel, Emre Ummak, et al.
(2023)
Closed Access | Times Cited: 1
Monitoring robot machine tool sate via neural ODE and BP-GA
Guangyi Zhu, Xi Zeng, Zheng Gong, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036110-036110
Closed Access
Page 1

Scroll to top