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 hybrid physics-data-driven surface roughness prediction model for ultra-precision machining
Long Bai, Qizhong Yang, Xin Cheng, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 5, pp. 1289-1303
Closed Access | Times Cited: 9
Long Bai, Qizhong Yang, Xin Cheng, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 5, pp. 1289-1303
Closed Access | Times Cited: 9
Showing 9 citing articles:
Evolution mechanism of microstructure and microhardness of Ti–6Al–4V alloy during ultrasonic elliptical vibration assisted ultra-precise cutting
Rongkai Tan, Shijing Jin, Shuangquan Wei, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 1641-1649
Open Access | Times Cited: 7
Rongkai Tan, Shijing Jin, Shuangquan Wei, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 1641-1649
Open Access | Times Cited: 7
Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality
M Zangane, Mahya Shahbazi, Seyed Ali Niknam
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
M Zangane, Mahya Shahbazi, Seyed Ali Niknam
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Surface quality prediction in abrasive flow machining using ANN model on small data sets
Haiquan Wang, Yiao Guo, Xuanping Wang, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Haiquan Wang, Yiao Guo, Xuanping Wang, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1482-1497
Closed Access | Times Cited: 3
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1482-1497
Closed Access | Times Cited: 3
Towards AI driven surface roughness evaluation in manufacturing: a prospective study
Sourish Ghosh, Ricardo Knoblauch, Mohamed El Mansori, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 1
Sourish Ghosh, Ricardo Knoblauch, Mohamed El Mansori, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 1
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters
Kai Zhou, Pingfa Feng, Feng Feng, et al.
Computers in Industry (2024) Vol. 164, pp. 104199-104199
Closed Access | Times Cited: 1
Kai Zhou, Pingfa Feng, Feng Feng, et al.
Computers in Industry (2024) Vol. 164, pp. 104199-104199
Closed Access | Times Cited: 1
Artificial neural network in the prediction of surface roughness: A comparative study
Habeeb Al-Ani
Sustainable Engineering and Innovation ISSN 2712-0562 (2023) Vol. 5, Iss. 2, pp. 141-150
Open Access | Times Cited: 2
Habeeb Al-Ani
Sustainable Engineering and Innovation ISSN 2712-0562 (2023) Vol. 5, Iss. 2, pp. 141-150
Open Access | Times Cited: 2
Advancing precision: Exploring nanomachining techniques in additive manufacturing
Mustafizur Rahman, Dennis Wee Keong Neo
Elsevier eBooks (2024), pp. 1-17
Closed Access
Mustafizur Rahman, Dennis Wee Keong Neo
Elsevier eBooks (2024), pp. 1-17
Closed Access
Design and Study of Machine Tools for the Fly-Cutting of Ceramic-Copper Substrates
Chupeng Zhang, Jiazheng Sun, Jia Zhou, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1111-1111
Open Access
Chupeng Zhang, Jiazheng Sun, Jia Zhou, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1111-1111
Open Access
