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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:

Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
Gabriela Ochoa, Katherine M. Malan, Christian Blum
Applied Soft Computing (2021) Vol. 109, pp. 107492-107492
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Biased random-key genetic algorithms: A review
Mariana A. Londe, Luciana Fontes Pessôa, Carlos E. Andrade, et al.
European Journal of Operational Research (2024) Vol. 321, Iss. 1, pp. 1-22
Open Access | Times Cited: 11
How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions
Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa
Genetic and evolutionary computation (2024), pp. 65-86
Closed Access | Times Cited: 5
Explainable Benchmarking for Iterative Optimization Heuristics
Bas van Stein, Diederick Vermetten, Anna V. Kononova, et al.
ACM Transactions on Evolutionary Learning and Optimization (2025)
Open Access
Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network
Yiya Diao, Changhe Li, Junchen Wang, et al.
Information (2025) Vol. 16, Iss. 3, pp. 190-190
Open Access
Fitness landscape analysis of convolutional neural network architectures for image classification
Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, et al.
Information Sciences (2022) Vol. 609, pp. 711-726
Open Access | Times Cited: 20
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications
Jiahang Li, Liang Gao, Xinyu Li
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101457-101457
Closed Access | Times Cited: 10
FPGA-based hardware implementation of chaotic opposition-based arithmetic optimization algorithm
M. A. Zermani, Ghaith Manita, Amit Chhabra, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111352-111352
Closed Access | Times Cited: 3
STNWeb: A new visualization tool for analyzing optimization algorithms
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
Software Impacts (2023) Vol. 17, pp. 100558-100558
Open Access | Times Cited: 8
Choice of benchmark optimization problems does matter
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101378-101378
Closed Access | Times Cited: 8
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks
Sarah L. Thomson, Léni K. Le Goff, Emma Hart, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 114-123
Open Access | Times Cited: 2
Search Trajectories Networks of Multiobjective Evolutionary Algorithms
Yuri Lavinas, Claus Aranha, Gabriela Ochoa
Lecture notes in computer science (2022), pp. 223-238
Closed Access | Times Cited: 13
Estimation of Distribution Algorithms in Machine Learning: A Survey
Pedro Larrañaga, Concha Bielza
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 5, pp. 1301-1321
Open Access | Times Cited: 7
Fundamental Tradeoffs Between Exploration and Exploitation Search Mechanisms
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 101-199
Closed Access | Times Cited: 2
Phenotype Search Trajectory Networks for Linear Genetic Programming
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Lecture notes in computer science (2023), pp. 52-67
Closed Access | Times Cited: 6
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.
Martin Fyvie, John McCall, Lee A. Christie, et al.
(2023), pp. 1648-1656
Open Access | Times Cited: 6
An offline learning co-evolutionary algorithm with problem-specific knowledge
Fuqing Zhao, Bo Zhu, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101148-101148
Closed Access | Times Cited: 10
Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, et al.
Lecture notes in computer science (2023), pp. 211-226
Closed Access | Times Cited: 5
On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks
Thai Bao Tran, Ngoc Hoang Luong
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 32-40
Closed Access | Times Cited: 1
Recombination and Novelty in Neuroevolution: A Visual Analysis
Stefano Sarti, Jason Adair, Gabriela Ochoa
SN Computer Science (2022) Vol. 3, Iss. 3
Open Access | Times Cited: 8
Explaining the Walking Through of a Team of Algorithms
Anabel Martínez-Vargas, Jesús A. Gómez-Avilés, María de los Ángeles Cosío-León, et al.
Computer (2023) Vol. 56, Iss. 2, pp. 67-81
Closed Access | Times Cited: 4
Multiobjective Evolutionary Component Effect on Algorithm Behavior
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 41-42
Open Access | Times Cited: 1
Metaheuristics on quantum computers: Inspiration, simulation and real execution
Zakaria Abdelmoiz Dahi, Enrique Alba
Future Generation Computer Systems (2021) Vol. 130, pp. 164-180
Open Access | Times Cited: 11
Under the Hood of Transfer Learning for Deep Neuroevolution
Stefano Sarti, Nuno Laurenço, Jason Adair, et al.
Lecture notes in computer science (2023), pp. 640-655
Closed Access | Times Cited: 2
Guiding the Exploration of the Solution Space in Walking Robots Through Growth-Based Morphological Development
Martín Naya-Varela, Andrés Faíña, Richard J. Duro
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1230-1238
Open Access | Times Cited: 2
Multiobjective Evolutionary Component Effect on Algorithm Behaviour
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 4, Iss. 2, pp. 1-24
Open Access | Times Cited: 2
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