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:

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Anastasiya V. Kulikova, Daniel J. Diaz, Tianlong Chen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Showing 6 citing articles:

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Habib Bashour, Eva Smorodina, Matteo Pariset, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6

Training data composition determines machine learning generalization and biological rule discovery
Eugen Ursu, Aygul R. Minnegalieva, Puneet Rawat, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks
Brent Allman, Luiz AngĂȘlo Vieira, Daniel J. Diaz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions
Lasse M. Blaabjerg, Nicolas Jonsson, Wouter Boomsma, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Closed Access | Times Cited: 1

Distilling structural representations into protein sequence models
Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, et al.
(2024)
Open Access | Times Cited: 1

Prediction of Tribological Properties of UHMWPE/SiC Polymer Composites Using Machine Learning Techniques
Abdul Jawad Mohammed, Anwaruddin Siddiqui Mohammed, Mohammed Abdul Samad
Polymers (2023) Vol. 15, Iss. 20, pp. 4057-4057
Open Access | Times Cited: 4

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