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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:

On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
Yanan Pan, Renke Kang, Zhigang Dong, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 675-685
Closed Access | Times Cited: 66

Showing 51-75 of 66 citing articles:

A Novel Fuzzy Echo State Broad Learning System for Surface Roughness Virtual Metrology
Wenwen Tian, Jiong Zhang, Fei Zhao, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 3756-3766
Closed Access | Times Cited: 2
Hydrogen Cooling of Turbo Aggregates and the Problem of Rotor Shafts Materials Degradation Evaluation
Alexander Balitskii, А. М. Syrotyuk, Maria R. Havrilyuk, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7851-7851
Open Access | Times Cited: 2
Noncontact Surface Roughness Evaluation of Milling Surface Using CNN-Deep Learning Models
Binayak Bhandari, Gijun Park
Research Square (Research Square) (2021)
Open Access | Times Cited: 5
Machine intelligence in mechanical engineering: an introduction
Elango Natarajan, K. Palanikumar, S. Ramesh, et al.
Elsevier eBooks (2024), pp. 1-12
Closed Access
An Experiment Study on Surface Topography of GH4169 Assisted by Ultrasonic Elliptical Vibration Ultra-Precision Turning
Gaofeng Hu, Min Zhang, Wendong Xin, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5515-5515
Open Access
Prediction of surface roughness based on the Multi-Input CNN-MHA in milling
Miaoxian Guo, Shouheng Wei, Chentong Han, et al.
(2024)
Closed Access
Adaptive Hybrid Prediction Model for Adapting to Data Distribution Shifts in Machining Quality Prediction
Feng Li, Xu Yang, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016022-016022
Closed Access
Effect of amplitude on material removal behavior and surface formation in ultrasonic elliptical vibration cutting of tungsten heavy alloys
Sen Yin, Guofeng Ma, Yidan Wang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 7-8, pp. 3681-3696
Closed Access
On-Line surface roughness classification for multiple CNC milling conditions based on transfer learning and neural network
Congying Deng, Bo Ye, Sheng Lu, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Real-time prediction of grinding surface roughness based on multi-sensor signal fusion
Yuhang Pan, Yajuan Qiao, Yonghao Wang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Optimization with artificial intelligence of the machinability of Hardox steel, which is exposed to different processes
Mehmet Altuğ, Hasan Söyler
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Intelligent prediction of surface roughness of PSZ ceramic grinding based on correlation analysis and CNN-BiLSTM neural network
Li Guo, Zheng Liangrui, Lang Feng
Scientific insights and discoveries review (2024) Vol. 4, pp. 313-322
Open Access
Surface Formation Mechanism in Ultrasonic Elliptical Vibration Cutting of Tungsten Alloy
Yanan Pan, Renke Kang, Yan Bao, et al.
Smart innovation, systems and technologies (2022), pp. 109-122
Closed Access | Times Cited: 2
A deep transfer learning model based on pockets clustering and feature reconstruction for dimensional accuracy forecast in aerospace skin parts manufacturing
Liping Wang, Shuailei Fu, Dong Wang, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 2, pp. 1009-1021
Closed Access | Times Cited: 1
Application of six sigma through deep learning in the production of fasteners
Mehmet Altuğ
International Journal of Lean Six Sigma (2023) Vol. 14, Iss. 7, pp. 1376-1402
Closed Access
Optimization with artificial intelligence of the machinability of Hardox steel, which is exposed to different processes
Mehmet Altuğ, Hasan Söyler
Research Square (Research Square) (2023)
Open Access
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