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:

Improvement of variables interpretability in kernel PCA
Mitja Briscik, Marie‐Agnès Dillies, Sébastien Dejean
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8

Showing 8 citing articles:

An adaptive sampling framework for data-efficient modelling of marine antibiotic-resistance genes (ARGs)
Tian Cong, Pascal Craw, Adrien Ickowicz, et al.
Knowledge-Based Systems (2025), pp. 112961-112961
Closed Access

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Elizaveta Mukhaleva, Babgen Manookian, Hanyu Chen, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

Objective Model Selection in Physics: Exploring the Finite Information Quantity Approach
Boris Menin
Journal of Applied Mathematics and Physics (2024) Vol. 12, Iss. 05, pp. 1848-1889
Open Access | Times Cited: 1

kpcaIG: Variables Interpretability with Kernel PCA
Mitja Briscik, Mohamed Heimida, Sébastien Dejean
(2024)
Closed Access | Times Cited: 1

Nonlinear principal components of the biochemical profile of dairy cattle of five breeds
D. Nohrin, O.V. Sokolova, Andrey Belousov, et al.
Agrarian Bulletin of the (2024) Vol. 24, Iss. 08, pp. 1056-1070
Closed Access

Supervised multiple kernel learning approaches for multi-omics data integration
Mitja Briscik, Gabriele Tazza, Dániel László Vidács, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access

Leveraging ML for profiling lipidomic alterations in breast cancer tissues: a methodological perspective
Parisa Shahnazari, Kaveh Kavousi, Zarrin Minuchehr, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Page 1

Scroll to top