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:
Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning
Shi Zeng, Dechang Pi
Sensors (2023) Vol. 23, Iss. 10, pp. 4969-4969
Open Access | Times Cited: 14
Shi Zeng, Dechang Pi
Sensors (2023) Vol. 23, Iss. 10, pp. 4969-4969
Open Access | Times Cited: 14
Showing 14 citing articles:
A review of artificial intelligent methods for machined surface roughness prediction
Huguang Yang, Han Zheng, Taohong Zhang
Tribology International (2024) Vol. 199, pp. 109935-109935
Closed Access | Times Cited: 11
Huguang Yang, Han Zheng, Taohong Zhang
Tribology International (2024) Vol. 199, pp. 109935-109935
Closed Access | Times Cited: 11
Model for predicting milled floor surface topography by importing actual bottom tool-edge profile details via online image acquisition
Wenjun Lyu, Zhanqiang Liu, Bing Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112303-112303
Closed Access
Wenjun Lyu, Zhanqiang Liu, Bing Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112303-112303
Closed Access
Artificial Intelligence and Machine Learning in Tribology: Selected Case Studies and Overall Potential
Raj Shah, Rudy Jaramillo, Garvin Thomas, et al.
Advanced Engineering Materials (2025)
Closed Access
Raj Shah, Rudy Jaramillo, Garvin Thomas, et al.
Advanced Engineering Materials (2025)
Closed Access
Machine learning prediction of surface roughness in sustainable machining of AISI H11 tool steel
Arumugam Balasuadhakar, S. Thirumalai Kumaran, M. Uthayakumar
Smart Materials in Manufacturing (2025) Vol. 3, pp. 100075-100075
Open Access
Arumugam Balasuadhakar, S. Thirumalai Kumaran, M. Uthayakumar
Smart Materials in Manufacturing (2025) Vol. 3, pp. 100075-100075
Open Access
Time-Series Machine Learning Techniques for Modeling and Identification of Mechatronic Systems with Friction: A Review and Real Application
Samuel Ayankoso, Paweł Olejnik
Electronics (2023) Vol. 12, Iss. 17, pp. 3669-3669
Open Access | Times Cited: 9
Samuel Ayankoso, Paweł Olejnik
Electronics (2023) Vol. 12, Iss. 17, pp. 3669-3669
Open Access | Times Cited: 9
Novel methods for optimizing CNC aluminum alloy machining parameters in polymer mold cavities
Ibrahim I. Ikhries, Ali F. Al‐Shawabkeh
International Journal of Lightweight Materials and Manufacture (2024) Vol. 7, Iss. 4, pp. 507-519
Open Access | Times Cited: 2
Ibrahim I. Ikhries, Ali F. Al‐Shawabkeh
International Journal of Lightweight Materials and Manufacture (2024) Vol. 7, Iss. 4, pp. 507-519
Open Access | Times Cited: 2
Application of physics-guided deep learning model in tool wear monitoring of high-speed milling
Shenshen Li, Jun Li, Kunpeng Zhu
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111949-111949
Closed Access | Times Cited: 1
Shenshen Li, Jun Li, Kunpeng Zhu
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111949-111949
Closed Access | Times Cited: 1
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 comprehensive review of machine learning techniques in computer numerical controlled machines
P. Srikanth, Pulimamidi sai teja, Borigam Lakshmi prasad, et al.
International Journal of Science and Research Archive (2023) Vol. 9, Iss. 1, pp. 627-637
Open Access | Times Cited: 2
P. Srikanth, Pulimamidi sai teja, Borigam Lakshmi prasad, et al.
International Journal of Science and Research Archive (2023) Vol. 9, Iss. 1, pp. 627-637
Open Access | Times Cited: 2
Integrating Taguchi Method and Support Vector Machine for Enhanced Surface Roughness Modeling and Optimization
Ashanira Mat Deris, Rozniza Ali, Ily Amalina Ahmad Sabri, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Ashanira Mat Deris, Rozniza Ali, Ily Amalina Ahmad Sabri, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Adaptive Surface Roughness Prediction in Turning Processes with Dynamic Lubrication using Fish Swarm-Intelligent Modified Xgboost Approach
Shweta Loonkar, Adarsha Harinaiha, Priyanka Chandani, et al.
Nanotechnology Perceptions (2024) Vol. 20, Iss. S2
Open Access
Shweta Loonkar, Adarsha Harinaiha, Priyanka Chandani, et al.
Nanotechnology Perceptions (2024) Vol. 20, Iss. S2
Open Access
Surface roughness prediction in boring of TC4-DT with multi-sensor data and machining parameters
L. Zhang, Xiaoyu Liu, Ziheng Zhou, et al.
(2024), pp. 328-335
Closed Access
L. Zhang, Xiaoyu Liu, Ziheng Zhou, et al.
(2024), pp. 328-335
Closed Access
A self-adaptive machining parameters adjustment method for stabilizing the machining-induced surface roughness
Yao-Tsung Lin, Shaolin Zhou, Lei Shu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 5-6, pp. 2019-2035
Closed Access
Yao-Tsung Lin, Shaolin Zhou, Lei Shu, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 5-6, pp. 2019-2035
Closed Access
Hybrid Analytics in Smart Manufacturing Systems—Addressing the Manufacturing Data Challenge
Thorsten Wuest
Smart and Sustainable Manufacturing Systems (2024) Vol. 8, Iss. 1, pp. 110-118
Closed Access
Thorsten Wuest
Smart and Sustainable Manufacturing Systems (2024) Vol. 8, Iss. 1, pp. 110-118
Closed Access
