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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:

Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Quentin Renau, Carola Doerr, Johann Dréo, et al.
Lecture notes in computer science (2020), pp. 139-153
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

A Survey of Advances in Landscape Analysis for Optimisation
Katherine M. Malan
Algorithms (2021) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 99
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?
Gjorgjina Cenikj, Gašper Petelin, Moritz Vinzent Seiler, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101894-101894
Open Access
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
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
Raphael Patrick Prager, Heike Trautmann
Evolutionary Computation (2023) Vol. 32, Iss. 3, pp. 211-216
Closed Access | Times Cited: 13
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
Exploratory Landscape Validation for Bayesian Optimization Algorithms
T.A. Agasiev, Anatoly Karpenko
Mathematics (2024) Vol. 12, Iss. 3, pp. 426-426
Open Access | Times Cited: 3
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101534-101534
Open Access | Times Cited: 3
An Exploratory Landscape Analysis-Based Benchmark Suite
Ryan Dieter Lang, Andries P. Engelbrecht
Algorithms (2021) Vol. 14, Iss. 3, pp. 78-78
Open Access | Times Cited: 26
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
Online metaheuristic algorithm selection
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
Expert Systems with Applications (2022) Vol. 201, pp. 117058-117058
Open Access | Times Cited: 15
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
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization
Ryoji Tanabe
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1321-1335
Open Access | Times Cited: 13
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
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
Exploratory Landscape Analysis
Pascal Kerschke, Mike Preuß
(2023), pp. 990-1007
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
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting
Gašper Petelin, Gjorgjina Cenikj, Tome Eftimov
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101448-101448
Open Access | Times Cited: 5
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis
Urban Škvorc, Tome Eftimov, Peter Korošec
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 1139-1146
Closed Access | Times Cited: 13
CNN-HT: A Two-Stage Algorithm Selection Framework
S. B. Xu, Wenwen Liu, Chengpei Wu, et al.
Entropy (2024) Vol. 26, Iss. 3, pp. 262-262
Open Access | Times Cited: 1
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 403-406
Closed Access | Times Cited: 1
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
Analyzing randomness effects on the reliability of exploratory landscape analysis
Mario Andrés Muñoz, Michael Kirley, Kate Smith‐Miles
Natural Computing (2021) Vol. 21, Iss. 2, pp. 131-154
Closed Access | Times Cited: 10
One-shot optimization for vehicle dynamics control systems
André Thomaser, Anna V. Kononova, Marc-Eric Vogt, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2036-2045
Open Access | Times Cited: 6
Automated parameter choice with exploratory landscape analysis and machine learning
Maxim Pikalov, Vladimir Mironovich
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021)
Closed Access | Times Cited: 8
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