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:
Multisensor-based tool wear diagnosis using 1D-CNN and DGCCA
Yong Yin, Shuxin Wang, Jian Zhou
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4448-4461
Closed Access | Times Cited: 25
Yong Yin, Shuxin Wang, Jian Zhou
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4448-4461
Closed Access | Times Cited: 25
Showing 25 citing articles:
Tool wear state recognition study based on an MTF and a vision transformer with a Kolmogorov-Arnold network
Shengming Dong, Meng Yue, Shubin Yin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112473-112473
Closed Access | Times Cited: 1
Shengming Dong, Meng Yue, Shubin Yin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112473-112473
Closed Access | Times Cited: 1
Research on multi-signal milling tool wear prediction method based on GAF-ResNext
Yaonan Cheng, Mengda Lu, Xiaoyu Gai, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102634-102634
Closed Access | Times Cited: 21
Yaonan Cheng, Mengda Lu, Xiaoyu Gai, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102634-102634
Closed Access | Times Cited: 21
An Improved ResNet-1d with Channel Attention for Tool Wear Monitor in Smart Manufacturing
Liang Dong, Chensheng Wang, Guang Yang, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1240-1240
Open Access | Times Cited: 16
Liang Dong, Chensheng Wang, Guang Yang, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1240-1240
Open Access | Times Cited: 16
A tool wear condition monitoring method for non-specific sensing signals
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
International Journal of Mechanical Sciences (2023) Vol. 263, pp. 108769-108769
Closed Access | Times Cited: 15
Yezhen Peng, Qinghua Song, Runqiong Wang, et al.
International Journal of Mechanical Sciences (2023) Vol. 263, pp. 108769-108769
Closed Access | Times Cited: 15
Deep learning-based CNC milling tool wear stage estimation with multi-signal analysis
Yunus Emre Karabacak
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 14
Yunus Emre Karabacak
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 14
Hierarchical temporal transformer network for tool wear state recognition
Zhongling Xue, Ni Chen, Youling Wu, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102218-102218
Closed Access | Times Cited: 14
Zhongling Xue, Ni Chen, Youling Wu, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102218-102218
Closed Access | Times Cited: 14
Intelligent wireless tool wear monitoring system based on chucked tool condition monitoring ring and deep learning
Ni Chen, Zhan Liu, Zhongling Xue, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103176-103176
Closed Access
Ni Chen, Zhan Liu, Zhongling Xue, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103176-103176
Closed Access
A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning
Zhilie Gao, Ni Chen, Liang Li
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112456-112456
Closed Access
Zhilie Gao, Ni Chen, Liang Li
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112456-112456
Closed Access
Identification of tool wear status using multi-sensor signals and improved gated recurrent unit
Zisheng Li, Xiaoping Xiao, Zhou Wen-jun, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Zisheng Li, Xiaoping Xiao, Zhou Wen-jun, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism
Baosu Guo, Qin Zhang, Qinjing Peng, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 2, pp. 685-695
Closed Access | Times Cited: 16
Baosu Guo, Qin Zhang, Qinjing Peng, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 2, pp. 685-695
Closed Access | Times Cited: 16
A multi-sensor monitoring methodology for grinding wheel wear evaluation based on INFO-SVM
Linlin Wan, Zejun Chen, Xianyang Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111003-111003
Closed Access | Times Cited: 7
Linlin Wan, Zejun Chen, Xianyang Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111003-111003
Closed Access | Times Cited: 7
A Fourier-based explanation of 1D-CNNs for machine condition monitoring applications
Pietro Borghesani, Nico Herwig, Jérôme Antoni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110865-110865
Open Access | Times Cited: 6
Pietro Borghesani, Nico Herwig, Jérôme Antoni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110865-110865
Open Access | Times Cited: 6
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
Zhongling Xue, Liang Li, Ni Chen, et al.
Micromachines (2023) Vol. 14, Iss. 11, pp. 1983-1983
Open Access | Times Cited: 5
Precision forecasting of grinding wheel Wear: A TransBiGRU model for advanced industrial predictive maintenance
Zekai Si, Sumei Si, Deqiang Mu
Measurement (2024) Vol. 234, pp. 114859-114859
Closed Access | Times Cited: 1
Zekai Si, Sumei Si, Deqiang Mu
Measurement (2024) Vol. 234, pp. 114859-114859
Closed Access | Times Cited: 1
Tool Wear Prediction Based on Residual Connection and Temporal Networks
Ziteng Li, Xinnan Lei, Zhichao You, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 306-306
Open Access | Times Cited: 1
Ziteng Li, Xinnan Lei, Zhichao You, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 306-306
Open Access | Times Cited: 1
Adaptive Diagnosis for Transformer With Unknown Faults Based on Antenna-Augmented RFID Sensor and Deep Learning
Tao Wang, Yanxia Xiao, Bing Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 20423-20436
Closed Access | Times Cited: 2
Tao Wang, Yanxia Xiao, Bing Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 20423-20436
Closed Access | Times Cited: 2
Milling tool condition monitoring for difficult-to-cut materials based on NCAE and IGWO-SVM
Siqi Wang, Shichao Yan, Yuwen Sun
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1355-1374
Closed Access | Times Cited: 2
Siqi Wang, Shichao Yan, Yuwen Sun
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1355-1374
Closed Access | Times Cited: 2
Innovative Tool Condition Classification: Utilizing Time-Frequency Moments as Inputs for BiLSTM Networks in Milling Processes
Achmad Zaki Rahman, Khairul Jauhari, Mahfudz Al Huda, et al.
Research Square (Research Square) (2024)
Open Access
Achmad Zaki Rahman, Khairul Jauhari, Mahfudz Al Huda, et al.
Research Square (Research Square) (2024)
Open Access
An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing
Chunping Dong, Jiaqiang Zhao
IEEE Access (2024) Vol. 12, pp. 79128-79137
Open Access
Chunping Dong, Jiaqiang Zhao
IEEE Access (2024) Vol. 12, pp. 79128-79137
Open Access
Comparison and Integration of Hydrological Models and Machine Learning Models in Global Monthly Streamflow Simulation
Jiawen Zhang, Dongdong Kong, Jianfeng Li, et al.
(2024)
Closed Access
Jiawen Zhang, Dongdong Kong, Jianfeng Li, et al.
(2024)
Closed Access
Innovative tool condition classification: utilizing time–frequency moments as inputs for BiLSTM networks in milling processes
Achmad Zaki Rahman, Khairul Jauhari, Mahfudz Al Huda, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 9
Open Access
Achmad Zaki Rahman, Khairul Jauhari, Mahfudz Al Huda, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 9
Open Access
Exploring the Processing Paradigm of Input Data for End-to-End Deep Learning in Tool Condition Monitoring
Chengguan Wang, Guangping Wang, Tao Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5300-5300
Open Access
Chengguan Wang, Guangping Wang, Tao Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5300-5300
Open Access
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
Jiawen Zhang, Dongdong Kong, Jianfeng Li, et al.
Journal of Hydrology (2024), pp. 132549-132549
Closed Access
Jiawen Zhang, Dongdong Kong, Jianfeng Li, et al.
Journal of Hydrology (2024), pp. 132549-132549
Closed Access
A multi-model method for tool wear prediction with deep temporal features and correlation alignment
Jingchuan Dong, Tao Chen, Yubo Gao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015604-015604
Closed Access | Times Cited: 1
Jingchuan Dong, Tao Chen, Yubo Gao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015604-015604
Closed Access | Times Cited: 1
1-D multi-channel CNN with transfer functions for inverse electromagnetic behaviors modeling and design optimization of high-dimensional filters
Yimin Ren, Xiaojiao Deng, Zhengyang You, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 1
Yimin Ren, Xiaojiao Deng, Zhengyang You, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 1
