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:

Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
Sheng-Min Chiu, Yi‐Chung Chen, Cheng-Ju Kuo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 16

Showing 16 citing articles:

Tool Wear Prediction Based on Multi-Information Fusion and Genetic Algorithm-Optimized Gaussian Process Regression in Milling
Zhiwen Huang, Jiajie Shao, Weicheng Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Open Access | Times Cited: 18
Applications of Machine Learning in Real-Time Control Systems: A Review
Xiaoning Zhao, Yougang Sun, Y.Y. Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012003-012003
Closed Access | Times Cited: 5
Tool Condition Monitoring Methods Applicable in the Metalworking Process
Melvin Alexis Lara de León, Jakub Kolařík, Radek Byrtus, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 221-242
Open Access | Times Cited: 14
Continuous wavelet transform based face milling tool condition classification using support vector machine and K-star algorithm–a comparative study
Dinesh Kumar, Syed Shaul Hameed, V.S. Muralidharan, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access
Tool wear prediction based on xLSTM combined with the ECA attention mechanism model
Jiawen Tian, Shuqiang Wang
Journal of Mechanical Science and Technology (2025)
Closed Access
High-speed machining of hardened steel during moldand die production: a critical review toward an Industry 5.0 environment
Jonny Herwan, German Herrera-Granados, Ichiro Ogura, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Prediction Model Optimization of Gas Turbine Remaining Useful Life Based on Transfer Learning and Simultaneous Distillation Pruning Algorithm
Yu Zheng, Liang Chen, Xiangyu Bao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110562-110562
Closed Access | Times Cited: 3
Application of Generative Adversarial Network and Diverse Feature Extraction Methods to Enhance Classification Accuracy of Tool-Wear Status
Bo-Xiang Chen, Yi‐Chung Chen, Chee-Hoe Loh, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2364-2364
Open Access | Times Cited: 8
Universal Transfer Framework for Urban Spatio-Temporal Knowledge Based on Radial Basis Function
Sheng-Min Chiu, Yow-Shin Liou, Yi‐Chung Chen, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4458-4469
Closed Access | Times Cited: 1
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A Case Study of a Spring Factory
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2913-2913
Open Access | Times Cited: 1
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 wear classification based on minimalism in deep learning for VanillaNet and recurrence plot encoding technology
Shuqiang Wang, Jiawen Tian
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 9, pp. 4793-4807
Closed Access | Times Cited: 1
Time-Varying Gaussian Encoder-Based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction
Lei Ren, Haiteng Wang, Zidi Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 3
Accurate identification and confidence evaluation of automatic generation control command execution effect based on deep learning fusion model
Guangyu Chen, Hongtong Liu, Haiyang Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107819-107819
Closed Access
Establishing Lightweight and Robust Prediction Models for Solar Power Forecasting Using Numerical–Categorical Radial Basis Function Deep Neural Networks
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10625-10625
Open Access
Drilling force prediction and drill wear monitoring for PCB drilling process based on spindle current signal
Qifeng Tan, Hao Tong, Yong Li
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 7-8, pp. 3475-3487
Closed Access | Times Cited: 1
Page 1

Scroll to top