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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:

State Monitoring Method for Tool Wear in Aerospace Manufacturing Processes Based on a Convolutional Neural Network (CNN)
Wei Dai, Kui Liang, Bin Wang
Aerospace (2021) Vol. 8, Iss. 11, pp. 335-335
Open Access | Times Cited: 16

Showing 16 citing articles:

An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features
Luttfi A. Al-Haddad, Alaa Abdulhady Jaber
Drones (2023) Vol. 7, Iss. 2, pp. 82-82
Open Access | Times Cited: 63
Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance
Imran Shafi, Muhammad Mazhar, Anum Fatima, et al.
Drones (2023) Vol. 7, Iss. 1, pp. 31-31
Open Access | Times Cited: 19
A frequency-spatial hybrid attention mechanism improved tool wear state recognition method guided by structure and process parameters
Xuwei Lai, Kai Zhang, Qing Zheng, et al.
Measurement (2023) Vol. 214, pp. 112833-112833
Closed Access | Times Cited: 19
Monitoring and Predicting the Surface Generation and Surface Roughness in Ultraprecision Machining: A Critical Review
K Manjunath, Suman Tewary, Neha Khatri, et al.
Machines (2021) Vol. 9, Iss. 12, pp. 369-369
Open Access | Times Cited: 35
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
A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction
Yongsheng Ma, Geng Zhang, Yingfeng Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102324-102324
Closed Access | Times Cited: 14
A Review on Aerospace-AI, with Ethics and Implications
Derrick Mirindi, David Sinkhonde, Frederic Mirindi, et al.
Journal of Civil Construction and Environmental Engineering (2025) Vol. 10, Iss. 2, pp. 60-74
Open Access
Fault Detection and Diagnosis for Liquid Rocket Engines Based on Long Short-Term Memory and Generative Adversarial Networks
Lingzhi Deng, Yuqiang Cheng, Yehui Shi
Aerospace (2022) Vol. 9, Iss. 8, pp. 399-399
Open Access | Times Cited: 16
A Novel Piecewise Cubic Hermite Interpolating Polynomial-Enhanced Convolutional Gated Recurrent Method under Multiple Sensor Feature Fusion for Tool Wear Prediction
Jigang He, Luyao Yuan, Haotian Lei, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1129-1129
Open 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
Tool wear state recognition under imbalanced data based on WGAN-GP and lightweight neural network ShuffleNet
Wen Hou, Hong Guo, Bingnan Yan, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 10, pp. 4993-5009
Closed Access | Times Cited: 15
Intelligent Recognition of Tool Wear with Artificial Intelligence Agent
Jiaming Gao, Han Qiao, Yilei Zhang
Coatings (2024) Vol. 14, Iss. 7, pp. 827-827
Open Access | Times Cited: 1
Tool Condition Monitoring with Convolutional Neural Network for Milling Tools and Turning Inserts
Achmad Pratama Rifai, Silvyaniza Briliananda, Hideki Aoyama
Deleted Journal (2023) Vol. 25, Iss. 1, pp. 1-16
Open Access | Times Cited: 2
Intelligent Tool Wear Monitoring Method Using a Convolutional Neural Network and an Informer
Xingang Xie, Min Huang, Weiwei Sun, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 389-389
Open Access | Times Cited: 1
IMPROVING THE ACCURACY OF SURFACE WEAR MEASUREMENTS OF MACHINES PARTS
Md. Motiur Rahman Tareq, Volodymyr Kvasnikov, Мariia Kataieva
Journal of theoretical and applied mechanics (2023) Vol. 53, Iss. 1
Open Access
A novel in-situ tool wear monitoring approach using multivariate signal processing and intrinsic multiscale entropy analysis
Yang Xu, Rui Yuan, Yong Lv, et al.
Research Square (Research Square) (2023)
Open Access
Time-Domain Identification Method Based on Data-Driven Intelligent Correction of Aerodynamic Parameters of Fixed-Wing UAV
Dapeng Yang, Jianwen Zang, Jun Liu, et al.
Drones (2023) Vol. 7, Iss. 9, pp. 594-594
Open Access
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