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:

Machine learningā€based prediction of mechanical and thermal properties of nickel/cobalt/ferrous and dried leaves fiberā€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: 7

Showing 7 citing articles:

Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers
Md. Jamal Uddin, Jitang Fan
Polymers (2024) Vol. 16, Iss. 8, pp. 1049-1049
Open Access | Times Cited: 14

Flexural and vibration behaviour of co-cured CFRP composite joints with MWCNT-modified adhesive
N. Karthikeyan, Jesuarockiam Naveen
Journal of Adhesion Science and Technology (2024), pp. 1-28
Closed Access | Times Cited: 8

Flexural and vibration behaviours of novel covered CFRP composite joints with an MWCNT-modified adhesive
N. Karthikeyan, Jesuarockiam Naveen, M. Rajesh, et al.
Nanotechnology Reviews (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 5

Multi-Criteria and CNN Analysis of Al2O3/ TiO2/ Egg Shell/ ATH Ceramic Fillers in Glass Fiber-epoxy composites
H. Mohit, V.V. Vamsi Krishna, Sanjay Mavinkere Rangappa, et al.
Journal of Materials Research and Technology (2025)
Open Access

The theoretical and experimental buckling analysis of a nanocomposite beams reinforced by nanorods made of recycled materials
Fatemeh Bargozini, Mehdi Mohammadimehr
Polymer Composites (2023) Vol. 45, Iss. 4, pp. 3327-3342
Closed Access | Times Cited: 9

Development and Machine Learning Based Prediction of Carbon/Hemp/Ramie Sandwich Composite as Sustainable and Ecofriendly Solution for Automobile Application
Subhankar Saha, Santosh Kumar, Vijay Kumar Mahakur, et al.
Materials Today Communications (2024), pp. 110817-110817
Closed Access | Times Cited: 2

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