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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:

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Quentin Renau, Johann Dréo, Carola Doerr, et al.
Lecture notes in computer science (2021), pp. 17-33
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Learning the characteristics of engineering optimization problems with applications in automotive crash
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 1227-1236
Open Access | Times Cited: 23
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts
Diederick Vermetten, Furong Ye, Thomas Bäck, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-19
Open Access | Times Cited: 4
Explainable Landscape-Aware Optimization Performance Prediction
Risto Trajanov, Stefan Dimeski, Martin Popovski, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 01-08
Open Access | Times Cited: 20
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances
Fu Xing Long, Diederick Vermetten, Bas van Stein, et al.
Lecture notes in computer science (2023), pp. 380-395
Open Access | Times Cited: 8
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 98-114
Closed Access | Times Cited: 2
Increasing the Diversity of Benchmark Function Sets Through Affine Recombination
Konstantin Dietrich, Olaf Mersmann
Lecture notes in computer science (2022), pp. 590-602
Closed Access | Times Cited: 12
Adaptive local landscape feature vector for problem classification and algorithm selection
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109751-109751
Closed Access | Times Cited: 12
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
Raphael Patrick Prager, Heike Trautmann
Lecture notes in computer science (2023), pp. 411-425
Closed Access | Times Cited: 7
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
Bas van Stein, Fu Xing Long, Moritz Frenzel, et al.
(2023)
Open Access | Times Cited: 7
Using Affine Combinations of BBOB Problems for Performance Assessment
Diederick Vermetten, Furong Ye, Carola Doerr
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 873-881
Open Access | Times Cited: 6
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms?
Gašper Petelin, Gjorgjina Cenikj
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023)
Closed Access | Times Cited: 6
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
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 813-821
Open Access | Times Cited: 5
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 2, pp. 1-26
Open Access | Times Cited: 1
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples
Quentin Renau, Emma Hart
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1026-1035
Closed Access | Times Cited: 1
A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis
Ningning Zhu, Fuqing Zhao, Yang Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101669-101669
Closed Access | Times Cited: 1
Applications of Evolutionary Computation
Pedro Á. Castillo, Juan Luís Jiménez Laredo
Lecture notes in computer science (2021)
Open Access | Times Cited: 9
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features
Diederick Vermetten, Hao Wang, Kevin Sim, et al.
Lecture notes in computer science (2023), pp. 335-350
Open Access | Times Cited: 3
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
From Fitness Landscapes to Explainable AI and Back
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, et al.
(2023), pp. 1663-1667
Open Access | Times Cited: 2
Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution
Vojtěch Uher, Pavel Krömer
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-9
Closed Access
Towards an Improved Understanding of Features for More Interpretable Landscape Analysis
Marcus Gallagher, Mario Andrés Muñoz
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 135-138
Closed Access
Explaining Differential Evolution Performance Through Problem Landscape Characteristics
Ana Nikolikj, Ryan Dieter Lang, Peter Korošec, et al.
Lecture notes in computer science (2022), pp. 99-113
Closed Access | Times Cited: 3
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1007-1016
Open Access
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems
Raphael Patrick Prager, Heike Trautmann
(2023), pp. 451-454
Closed Access | Times Cited: 1
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