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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:

Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network
Xianli Liu, Shaoyang Liu, Xuebing Li, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 608-619
Closed Access | Times Cited: 95

Showing 51-75 of 95 citing articles:

A novel current sensor indicator enabled WAFTR model for tool wear prediction under variable operating conditions
Pradeep Kundu, Xichun Luo, Yi Qin, et al.
Journal of Manufacturing Processes (2022) Vol. 82, pp. 777-791
Open Access | Times Cited: 12
Research on multi-source information fusion tool wear monitoring based on MKW-GPR model
Ruitao Peng, Zelin Xiao, Yuanyuan Peng, et al.
Measurement (2024), pp. 116055-116055
Closed Access | Times Cited: 2
Novel tool wear prediction method based on multimodal information fusion and deep subdomain adaptation
Wen Hou, Jiachang Wang, Leilei Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112128-112128
Closed Access | Times Cited: 2
A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring
Xuzhou Fang, Qinghua Song, Jing Qin, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102901-102901
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
A pre-trained model selection for transfer learning of remaining useful life prediction of grinding wheel
Seung‐Ho Park, Kyoung‐Su Park
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 2295-2312
Closed Access | Times Cited: 6
A new method for remaining useful life prediction by implementing joint learning of sensor dynamic graph and spatio-temporal features
Shuai Lv, Shujie Liu
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095123-095123
Closed Access | Times Cited: 6
A novel pre-trained model based on graph-labeling graph neural networks for tool wear prediction under variable working conditions
Haitao Xu, Xu Yang, Wei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125026-125026
Closed Access | Times Cited: 6
Prediction of tool wear during micro-milling Inconel 718 based on long short-term memory network
Xiaohong Lü, Fanmao Zeng, Kai Xv, et al.
Precision Engineering (2023) Vol. 86, pp. 195-202
Closed Access | Times Cited: 6
In-Process Tool Condition Forecasting of Drilling CFRP/Ti Stacks Based on ResNet and LSTM Network
Zhenxi Jiang, Fuji Wang, Debiao Zeng, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1881-1881
Open Access | Times Cited: 5
Archimedes Optimization with Deep Learning Based Aerial Image Classification for Cybersecurity Enabled UAV Networks
Faris Kateb, Mahmoud Ragab
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 2171-2185
Open Access | Times Cited: 5
Tool wear monitoring using a novel parallel BiLSTM model with multi-domain features for robotic milling Al7050-T7451 workpiece
Kaixing Zhang, Delong Zhou, Chang’an Zhou, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1883-1899
Closed 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
A Tcn-Bigru Network with Soft Thresholding and Attention Mechanism for the Tool Wear Prediction
Binglin Li, Jun Li, Xingsheng Wu, et al.
(2024)
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
Research on tool remaining useful life prediction algorithm based on machine learning
Yong Ge, Hiu Hong Teo, Lip Kean Moey, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035402-035402
Closed Access | Times Cited: 1
Design of Tool Wear Monitoring System in Bone Material Drilling Process
Lijia Liu, Wenjie Kang, Yiwen Wang, et al.
Coatings (2024) Vol. 14, Iss. 7, pp. 812-812
Open 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
Optimizing Tool Wear Prediction in Intelligent Manufacturing: A Multi-Sensor Approach Enhanced by RealNVP
Huanyi Lei, Bo Li, Hengchang Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126140-126140
Closed Access | Times Cited: 1
Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data
Zongliang Xie, Zhipeng Zhang, Jinglong Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 26-39
Closed Access | Times Cited: 1
BDTM-Net: A tool wear monitoring framework based on semantic segmentation module
Jiaqi Zhou, Caixu Yue, Jiaxu Qu, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 576-590
Closed Access | Times Cited: 1
Intelligent Intrusion Detection Using Arithmetic Optimization Enabled Density Based Clustering with Deep Learning
Fadwa Alrowais, Radwa Marzouk, Mohamed K. Nour, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3541-3541
Open Access | Times Cited: 7
A hybrid network capturing multisource feature correlations for tool remaining useful life prediction
Shihao Wu, Yang Li, Weiguang Li, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 5-6, pp. 2815-2831
Closed Access | Times Cited: 3
Research on Intelligent Monitoring of Boring Bar Vibration State Based on Shuffle-BiLSTM
Qiang Liu, Dingkun Li, Jing Ma, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6123-6123
Open Access | Times Cited: 3
Construction of an Online Machine Tool Wear Prediction System by Using a Time-Delay Phase Space Reconstruction-Based Dilation Convolutional Neural Network
Her‐Terng Yau, Ping‐Huan Kuo, Dian-Ying Cai, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22295-22312
Closed Access | Times Cited: 3

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