
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:
Interpolation-based virtual sample generation for surface roughness prediction
Wenwen Tian, Jiong Zhang, Fei Zhao, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 343-353
Closed Access | Times Cited: 12
Wenwen Tian, Jiong Zhang, Fei Zhao, et al.
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 343-353
Closed Access | Times Cited: 12
Showing 12 citing articles:
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
Enhancing Prediction Accuracy for High-dimensional Small-sample-size Microarray Data Cancer by Combining Chebyshev Interpolation with New Dual-net GAN
Liang-Sian Lin, Yao-San Lin, Der‐Chiang Li, et al.
Applied Soft Computing (2025), pp. 112826-112826
Closed Access
Liang-Sian Lin, Yao-San Lin, Der‐Chiang Li, et al.
Applied Soft Computing (2025), pp. 112826-112826
Closed Access
Development of optimal monitoring strategies for smart ultra-precision machining using social network analysis
Zhicheng Xu, Feng Guo, Baolong Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 24-41
Closed Access | Times Cited: 3
Zhicheng Xu, Feng Guo, Baolong Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 24-41
Closed Access | Times Cited: 3
Advancing the energy consumption prediction of the milling machine with small sample sets: a virtual sample generation approach with MC-PSO
Junjie Hu, Wei Zhao, Muhammad Jamil, et al.
Machining Science and Technology (2025), pp. 1-30
Closed Access
Junjie Hu, Wei Zhao, Muhammad Jamil, et al.
Machining Science and Technology (2025), pp. 1-30
Closed Access
Prediction of surface roughness using different features in vortex cooled turning process of Ti6Al4V alloy
Yusuf Sıyambaş, Aslan Akdulum
Measurement (2024) Vol. 237, pp. 115258-115258
Closed Access | Times Cited: 3
Yusuf Sıyambaş, Aslan Akdulum
Measurement (2024) Vol. 237, pp. 115258-115258
Closed Access | Times Cited: 3
Diameter-adjustable mandrel for thin-wall tube bending and its domain knowledge-integrated optimization design framework
Zili Wang, Jie Li, Xiaojian Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109634-109634
Closed Access | Times Cited: 2
Zili Wang, Jie Li, Xiaojian Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109634-109634
Closed Access | Times Cited: 2
Prediction and optimization of surface roughness in high-speed dry milling of 30CrMnSiNiA using GPR and MOHHO algorithm
Lei Song, Chunping Yan, Gan Tu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 9-10, pp. 4357-4377
Closed Access | Times Cited: 5
Lei Song, Chunping Yan, Gan Tu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 9-10, pp. 4357-4377
Closed Access | Times Cited: 5
A Novel Approach to Surface Roughness Virtual Sample Generation to Address the Small Sample Size Problem in Ultra-Precision Machining
Ruilin Liu, Wenwen Tian
Sensors (2024) Vol. 24, Iss. 11, pp. 3621-3621
Open Access | Times Cited: 1
Ruilin Liu, Wenwen Tian
Sensors (2024) Vol. 24, Iss. 11, pp. 3621-3621
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
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
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
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
Feng Li, Xu Yang, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016022-016022
Closed Access
Prévision des prix de vente aux enchères des joueurs de cricket de l’Indian Premier League à l’aide de réseaux neuronaux
Vijay Pereira, Abbas Rohani, Siamak Kheybari, et al.
(2024) Vol. Vol. 41, Iss. 1, pp. 55-69
Closed Access
Vijay Pereira, Abbas Rohani, Siamak Kheybari, et al.
(2024) Vol. Vol. 41, Iss. 1, pp. 55-69
Closed Access