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:

Tribological characteristics of additively manufactured 316 stainless steel against 100 cr6 alloy using deep learning
Munish Kumar Gupta, Mehmet Erdi Korkmaz, C. Sherin Shibi, et al.
Tribology International (2023) Vol. 188, pp. 108893-108893
Open Access | Times Cited: 13

Showing 13 citing articles:

Tool wear and its mechanism in turning aluminum alloys with image processing and machine learning methods
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Enes Çeli̇k, et al.
Tribology International (2023) Vol. 191, pp. 109207-109207
Closed Access | Times Cited: 22

A study on friction induced tribological characteristics of steel 316 L against 100 cr6 alloy under different lubricating conditions with machine learning model
Munish Kumar Gupta, Mehmet Erdi Korkmaz, Aleksander Karolczuk, et al.
Tribology International (2024) Vol. 195, pp. 109599-109599
Closed Access | Times Cited: 10

Tribological performance of steel-steel contact tribosurfaces by using nano-enhanced biolubricant
Kamarapu Santhosh Kumar, M. Amarnath, Saurabh Tiwari, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 7-8, pp. 3605-3620
Closed Access | Times Cited: 5

Novel insights into conventional machining of metal additive manufactured components: a comprehensive review
Prameet Vats, Avinash Kumar, Kishor Kumar Gajrani
Machining Science and Technology (2024), pp. 1-94
Closed Access | Times Cited: 2

Recognition of Intergranular Corrosion in AISI 304 Stainless Steel by Integrating a Multilayer Perceptron Artificial Neural Network and Metallographic Image Processing
EDGAR AUGUSTO RUELAS SANTOYO, Armando Javier Ríos-Lira, Yaquelin Verenice Pantoja-Pacheco, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5077-5077
Open Access | Times Cited: 1

Performance Evaluation of Cutting Fluids Formulated with Recycled Toner Waste and Rice Bran Oil in Sustainable Machining of LMD Processed Ti64 Alloy
Nimel Sworna Ross, Peter Madindwa Mashinini, Dhanasekar Vinayagamoorthy, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024)
Open Access | Times Cited: 1

Optimizing CNC turning of AISI D3 tool steel using Al₂O₃/graphene nanofluid and machine learning algorithms
Leta Daba Gemechu, Dame Alemayehu Efa, Robsan Abebe
Heliyon (2024) Vol. 10, Iss. 24, pp. e40969-e40969
Closed Access | Times Cited: 1

Estimation of Dimensional Deviation of Parts Printed in Different Orientations on Multi Jet Printer
Ramesh Chand, Munish Kumar Gupta
Prabha Materials Science Letters (2024) Vol. 3, Iss. 1, pp. 46-59
Open Access

Biomedical Applications with Multiscale Structures Produced by Additive Manufacturing
Mustafa Günay, Tolga Meral
Journal of Molecular and Engineering Materials (2024) Vol. 13, Iss. 01
Closed Access

A review on process prerequisites and biomedical applications of additively manufactured zirconia
Ratnesh Raj, Gurminder Singh
Engineering Science and Technology an International Journal (2024) Vol. 59, pp. 101876-101876
Open Access

Significance of the electrochemical passive layer during the wear tests of surface finished SLM stainless steel features
M.M. Basha, T.S.R.Ch. Murthy, Ashutosh Sahu, et al.
Deleted Journal (2024), pp. 100036-100036
Closed Access

Machine Learning-Based Analysis of Hardness in Polypropylene/Carbon Nanotube and Low-DensityPolyethylene/Carbon Nanotube Composites
Harshit Sharma, Gaurav Arora, Raj Kumar, et al.
Research Square (Research Square) (2024)
Closed Access

A comprehensive review on application of machine intelligence in additive manufacturing
N. Ethiraj, T. Sivabalan, J. Sofia Vincent, et al.
Turkish Journal of Engineering (2024)
Open Access

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