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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:

Non-contact surface roughness evaluation of milling surface using CNN-deep learning models
Binayak Bhandari, Gijun Park
International Journal of Computer Integrated Manufacturing (2022) Vol. 37, Iss. 4, pp. 423-437
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Artificial Intelligence-Based Smart Quality Inspection for Manufacturing
Sarvesh Sundaram, Abe Zeid
Micromachines (2023) Vol. 14, Iss. 3, pp. 570-570
Open Access | Times Cited: 71
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access | Times Cited: 1
Continuous Wavelet Transform and Deep Learning for Accurate AE Zone Detection in Laminated Composite Structures
Binayak Bhandari, Phyo Thu Maung, Ebrahim Oromiehie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14007-14017
Closed Access | Times Cited: 7
Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization
Muhammad Umar, Muhammad Siddique, N. Ullah, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10404-10404
Open Access | Times Cited: 6
Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals
Binayak Bhandari, Gijun Park, Niusha Shafiabady
Neural Computing and Applications (2023) Vol. 35, Iss. 18, pp. 13275-13292
Closed Access | Times Cited: 14
A novel hybrid Bayesian-optimized CNN–SVM deep learning model for real-time surface roughness classification and prediction based on in-process machined surface image analysis
Abdul Wahab Arif, P. Rao, Kalapala Prasad
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access
Advances in Acoustic Emission Monitoring for Grinding of Hard and Brittle Materials
Zhiqi Fan, Chengwei Kang, Xuliang Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Automatic surface roughness recognition system under different manufacturing processes based on deep learning
Jiajian Meng, Xiaolong Yuan, Guan Wang, et al.
Measurement (2025), pp. 117473-117473
Closed Access
Thin Film Thickness Analysis Using a Deep Learning Algorithm with a Consideration of Reflectance Fluctuation
Joonyoung Lee, Jonghan Jin
International Journal of Precision Engineering and Manufacturing-Smart Technology (2025) Vol. 3, Iss. 1, pp. 31-38
Closed Access
Multi-Objective Monitoring of CVD Diamond Micro-Grinding Tools Using Acoustic Emission and Force Signals with Neural Network Optimization
Jianfei Jia, Bing Meng, Bing Guo, et al.
International Journal of Precision Engineering and Manufacturing-Green 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
Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining
Ali Erçetin, Oğuzhan Der, Fatih Akkoyun, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 6, pp. 244-244
Open Access | Times Cited: 3
Machining surface roughness detection by adaptive deep fusion capsule network with low illumination and noise robustness
Zhiwen Huang, Qiang Zhang, Jiajie Shao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015037-015037
Closed Access | Times Cited: 8
Data-driven Discrete Simulation-based Dynamic Modeling and Continuous Optimization for Comprehensive Carbon Efficiency of Batch Hobbing
Qian Yi, Chunhui Hu, Congbo Li, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024)
Closed Access | Times Cited: 2
Material removal profile and surface topography prediction of ultrasonic vibration-assisted polished based on gray wolf optimization neural network
Zhijie Cui, Yingdong Liang, Fanwei Meng, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4235-4249
Closed Access | Times Cited: 2
Geometric feature extraction in nanofiber membrane image based on convolution neural network for surface roughness prediction
Dong Hee Kang, Na Kyong Kim, Wonoh Lee, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35358-e35358
Open Access | Times Cited: 2
Prediction of Mechanical Properties of Rare-Earth Magnesium Alloys Based on Convolutional Neural Networks
Mei Cheng, Xiya Jia, Zhimin Zhang
Materials (2024) Vol. 17, Iss. 20, pp. 4956-4956
Open Access | Times Cited: 2
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.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 3-4, pp. 1063-1076
Open Access | Times Cited: 4
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
Determination of surface roughness of rocks based on 2D profiles using machine learning methods
Ali Mohamad Pakdaman, Mahdi Moosavi
Archive of Applied Mechanics (2023) Vol. 94, Iss. 1, pp. 157-185
Closed Access | Times Cited: 2
Experimental investigation on performance of bubble-bursting atomization methods for minimum quantity lubrication in face milling tool steel
Muhammad Rizal, Amir Zaki Mubarak, Jaharah A. Ghani
Results in Engineering (2024), pp. 102903-102903
Open Access
Surface quality predictive model for ultraprecision fly-cutting based on an integrated hybrid CNN-LSTM
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access
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
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
Real-time monitoring method for surface roughness of γ-TiAl alloy based on deep learning of time-frequency diagram
Yongxian Wu, Linyan Liu, Lei Huang, et al.
Research Square (Research Square) (2023)
Open Access
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