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:

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
Tome Eftimov, Gorjan Popovski, Quentin Renau, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 775-782
Open Access | Times Cited: 11

Showing 11 citing articles:

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
Ana Kostovska, Anja Jankovič, Diederick Vermetten, et al.
Lecture notes in computer science (2022), pp. 46-60
Open Access | Times Cited: 29

Transfer Learning Analysis of Multi-Class Classification for Landscape-Aware Algorithm Selection
Urban Škvorc, Tome Eftimov, Peter Korošec
Mathematics (2022) Vol. 10, Iss. 3, pp. 432-432
Open Access | Times Cited: 18

Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovič, Tome Eftimov, Carola Doerr
Lecture notes in computer science (2021), pp. 601-617
Open Access | Times Cited: 24

SELECTOR
Gjorgjina Cenikj, Ryan Dieter Lang, Andries P. Engelbrecht, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 620-629
Open Access | Times Cited: 14

Explainable Landscape Analysis in Automated Algorithm Performance Prediction
Risto Trajanov, Stefan Dimeski, Martin Popovski, et al.
Lecture notes in computer science (2022), pp. 207-222
Closed Access | Times Cited: 10

Using structural bias to analyse the behaviour of modular CMA-ES
Diederick Vermetten, Fabio Caraffini, Bas van Stein, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1674-1682
Open Access | Times Cited: 5

Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access

A complementarity analysis of the COCO benchmark problems and artificially generated problems
Urban Škvorc, Tome Eftimov, Peter Korošec
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 215-216
Open Access | Times Cited: 4

Towards exploratory landscape analysis for large-scale optimization
Ryoji Tanabe
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 546-555
Open Access | Times Cited: 2

Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovič, Tome Eftimov, Carola Doerr
(2021)
Closed Access

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