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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:

New features for continuous exploratory landscape analysis based on the SOO tree
Bilel Derbel, Arnaud Liefooghe, Sebástien Vérel, et al.
(2019), pp. 72-86
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

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
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection
Moritz Vinzent Seiler, Urban Škvorc, Carola Doerr, et al.
Lecture notes in computer science (2025), pp. 361-376
Closed Access
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
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
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
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
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
Exploratory Landscape Analysis
Pascal Kerschke, Mike Preuß
(2023), pp. 990-1007
Closed Access | Times Cited: 6
AutoML Loss Landscapes
Yasha Pushak, Holger H. Hoos
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 3, pp. 1-30
Closed Access | Times Cited: 10
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
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
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Quentin Renau, Carola Doerr, Johann Dréo, et al.
(2020)
Open Access | Times Cited: 10
Towards large scale automated algorithm design by integrating modular benchmarking frameworks
Amine Aziz-Alaoui, Carola Doerr, Johann Dréo
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 1365-1374
Open Access | Times Cited: 10
RF+clust for Leave-One-Problem-Out Performance Prediction
Ana Nikolikj, Carola Doerr, Tome Eftimov
Lecture notes in computer science (2023), pp. 285-301
Open Access | Times Cited: 3
Neural Network Design: Learning from Neural Architecture Search
Bas van Stein, Hao Wang, Thomas Bäck
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 1341-1349
Open Access | Times Cited: 7
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Vanessa Volz, Boris Naujoks, Pascal Kerschke, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110121-110121
Open Access | Times Cited: 2
The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection
Anja Jankovič, Gorjan Popovski, Tome Eftimov, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 6
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
T. Yoshikawa, Ryoji Tanabe
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1754-1761
Open 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
Personalizing performance regression models to black-box optimization problems
Tome Eftimov, Anja Jankovič, Gorjan Popovski, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 669-677
Open Access | Times Cited: 2
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
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization
Pascal Kerschke, Christian Grimme
Natural computing series (2021), pp. 89-111
Closed Access | Times Cited: 2
An analysis of the impact of subsampling on the neural network error surface
Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Neurocomputing (2021) Vol. 466, pp. 252-264
Closed Access | Times Cited: 1
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