Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Statistical and artificial neural network technique for prediction of performance in AlSi10Mg-MWCNT based composite materials
Santosh Kumar, Priyadarshan, Subrata Kumar Ghosh
Materials Chemistry and Physics (2021) Vol. 273, pp. 125136-125136
Closed Access | Times Cited: 24

Showing 24 citing articles:

Tribological Behaviour of Hypereutectic Al-Si Composites: A Multi-Response Optimisation Approach with ANN and Taguchi Grey Method
Slavica Miladinović, Sandra Gajević, Slobodan Savić, et al.
Lubricants (2024) Vol. 12, Iss. 2, pp. 61-61
Open Access | Times Cited: 9
Taguchi’s DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fiber reinforced epoxy composites under the dry sliding condition
Nikhil Sharma, Santosh Kumar, Kalyan Kumar Singh
Tribology International (2022) Vol. 172, pp. 107580-107580
Closed Access | Times Cited: 26
Research on friction performance and wear rate prediction of high-speed train brake pads
Jiawei Chen, Chunyu Yu, Qi Cheng, et al.
Wear (2022) Vol. 514-515, pp. 204564-204564
Closed Access | Times Cited: 24
Structure genome based machine learning method for woven lattice structures
Chundi Zhang, Ben Wang, Hengyi Zhu, et al.
International Journal of Mechanical Sciences (2023) Vol. 245, pp. 108134-108134
Closed Access | Times Cited: 14
An integrated Artificial neural network technique to optimize the various parameters of Pineapple/SiO2/epoxy-based nanocomposites under NaOH treatment
L. Natrayan, Naga Dheeraj Kumar Reddy Chukka, S. Kaliappan, et al.
Results in Engineering (2025), pp. 104737-104737
Open Access
Machine learning‐based prediction of mechanical and thermal properties of nickel/cobalt/ferrous and dried leaves fiber‐reinforced polymer hybrid composites
H. Mohit, Sanjay Mavinkere Rangappa, Suchart Siengchin, et al.
Polymer Composites (2023) Vol. 45, Iss. 1, pp. 489-506
Closed Access | Times Cited: 9
Prediction of ball-on-plate friction and wear by ANN with data-driven optimization
Alexander Kovalev, Yu Tian, Yonggang Meng
Friction (2024) Vol. 12, Iss. 6, pp. 1235-1249
Open Access | Times Cited: 2
Water Retention Behaviour and Fracture Toughness of Coir/Pineapple Leaf Fibre with Addition of Al2O3 Hybrid Composites under Ambient Conditions
L. Natrayan, P. V. Arul Kumar, S. Baskara Sethupathy, et al.
Adsorption Science & Technology (2022) Vol. 2022
Open Access | Times Cited: 11
Artificial Neural Network technique to assess tribological performance of GFRP composites incorporated with graphene nano-platelets
Santosh Kumar, Nikhil Sharma, Kalyan Kumar Singh
Tribology International (2022) Vol. 179, pp. 108194-108194
Closed Access | Times Cited: 11
Comparative study of airborne particles on new developed metal matrix composite and commercial brake pad materials with ANN and finite element analysis
Santosh Kumar, Priyadarshan, Subrata Kumar Ghosh
Computational Particle Mechanics (2022) Vol. 10, Iss. 2, pp. 273-287
Closed Access | Times Cited: 8
Mass flow rate prediction of screw conveyor using artificial neural network method
Eren Kalay, Muharrem Erdem Boğoçlu, Berna Bolat
Powder Technology (2022) Vol. 408, pp. 117757-117757
Closed Access | Times Cited: 8
Multi-objective optimization of mechanical and microstructural characteristics in a stir casting process of MWCNTs/Al6082 composites using neutrosophic TOPSIS and GRA
Madhusudan Baghel, C. M. Krishna
Journal of the Chinese Institute of Engineers (2023) Vol. 46, Iss. 4, pp. 345-354
Closed Access | Times Cited: 4
Optimizing Numerous Influencing Parameters of Nano-SiO2/Banana Fiber-Reinforced Hybrid Composites using Taguchi and ANN Approach
L. Natrayan, Raviteja Surakasi, Pravin P. Patil, et al.
Journal of Nanomaterials (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 4
Prediction of Friction Coefficient for Ductile Cast Iron Using Artificial Neural Network Methodology Based on Experimental Investigation
Ahmad A. Khalaf, Muammel M. Hanon
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 11916-11916
Open Access | Times Cited: 7
Optimization of tribological behaviour of TiO2 nanoparticles reinforced AA7178 alloy matrix using ANN and Taguchi’s methodology
Nikhil Bharat, P. S. C. Bose
Surface Topography Metrology and Properties (2022) Vol. 10, Iss. 2, pp. 025032-025032
Closed Access | Times Cited: 6
Intelligent prediction of wear life of automobile brake pad based on braking conditions
Jingyu Cao, Jiusheng Bao, Yan Yin, et al.
Industrial Lubrication and Tribology (2022) Vol. 75, Iss. 2, pp. 157-165
Closed Access | Times Cited: 6
Reduction of brake emission by optimizing the curing condition for brake pads using an artificial neural network
Wansu Song, Jongsung Park, Hyungjo Seo, et al.
Wear (2022) Vol. 516-517, pp. 204606-204606
Closed Access | Times Cited: 5
Artificial Neural Network–based Prediction Model to Minimize Dust Emission in the Machining Process
Hilal Singer, Abdullah Cemil İlçe, Yunus E. Şenel, et al.
Safety and Health at Work (2024) Vol. 15, Iss. 3, pp. 317-326
Open Access
Predicting the fatigue life of additively manufactured AlSi10Mg alloy using a physics-informed neural network incorporating continuous damage mechanics
Qin Wu, Haijie Wang, Bo Li
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access
Aramid Elyaf Takviyeli Polimer Matris Kompozitlerin Mekanik Deney Sonuçlarının Yapay Sinir Ağlarıyla Tahminleri ve İstatistiksel Analizleri
Fatih BUYRUL
Uluslararası mühendislik araştırma ve geliştirme dergisi (2022) Vol. 14, Iss. 1, pp. 271-281
Open Access | Times Cited: 1
Design of Experiment with Tribological Performance Analysis of Electroless Nano-composite Ni-P-SiC Coating for Conveyors
Santosh Kumar, Subrata Kumar Ghosh, L.S. Bhotra, et al.
Tribology in Industry (2022) Vol. 44, Iss. 4, pp. 707-718
Open Access | Times Cited: 1
DEVELOPMENT AND ANALYSIS OF FRICTION MATERIAL FOR ECO-FRIENDLY BRAKE PAD USING SEASHELL COMPOSITE
A. S. Adekunle, Mojeed Okunlola, Peter Omoniyi, et al.
Scientia Iranica (2022)
Open Access | Times Cited: 1
Experimental and statistical analysis of wear on gear material
Rakesh Ranjan, Santosh Kumar, Subrata Kumar Ghosh, et al.
Lubrication Science (2023) Vol. 35, Iss. 6, pp. 438-448
Closed Access
Prediction of Impact Strength of TIG Welded Cr-Mo Steel Using Artificial Neural Networks
Reuben Adewuyi, J.O. Aweda, Faith Ogunwoye, et al.
Metallurgical and Materials Engineering (2023) Vol. 30, Iss. 1, pp. 61-69
Open Access
Page 1

Scroll to top