Open Access Helper

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:

A GAN-Based Multi-Sensor Data Augmentation Technique for CNC Machine Tool Wear Prediction
Yuechi Jiang, Benny Drescher, Guoguang Yuan
IEEE Access (2023) Vol. 11, pp. 95782-95795
Open Access | Times Cited: 9

Showing 9 citing articles:

Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 31
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Explainable evaluation of generative adversarial networks for wearables data augmentation
Sara Narteni, Vanessa Orani, Enrico Ferrari, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110133-110133
Open 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
Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal
Shuhang Li, Meiqiu Li, Yingning Gao
Sensors (2025) Vol. 25, Iss. 3, pp. 662-662
Open Access
Hybrid Data Augmentation Combining Screening-Based MCGAN and Manual Transformation for Few-Shot Tool Wear State Recognition
Yu Quan, Changfu Liu, Zhuang Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12186-12196
Closed Access | Times Cited: 3
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
Predicting the degree of rubber rupture damage using a GAN-enhanced Bayesian-optimized 1DCNN network
Yi Zeng, Chubing Deng, Feng Xiong, et al.
Structural Health Monitoring (2024)
Closed Access
Advanced data augmentation techniques coupled with enhanced particle swarm optimization for predicting total phosphorus concentrations in limited transmission spectra samples: A case study on the Yangtze River
Guohao Zhang, Cailing Wang, Hongwei Wang, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106547-106547
Closed Access
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