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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:

Visualising the landscape of multi-objective problems using local optima networks
Jonathan E. Fieldsend, Khulood Alyahya
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2019), pp. 1421-1429
Open Access | Times Cited: 20

Showing 20 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
Multi-objective Optimisation with Uncertainty: Some Considerations for Wind Farm Optimisation
Jonathan E. Fieldsend
(2025), pp. 25-44
Closed Access
Optimizing the Energy Consumption of Blockchain-Based Systems Using Evolutionary Algorithms: A New Problem Formulation
Akram Alofi, Mahmoud A. Bokhari, Rami Bahsoon, et al.
IEEE Transactions on Sustainable Computing (2022) Vol. 7, Iss. 4, pp. 910-922
Open Access | Times Cited: 26
Finding the Set of Nearly Optimal Solutions of a Multi-Objective Optimization Problem
Oliver Schütze, Angel E. Rodríguez-Fernandez, Carlos Segura, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 145-157
Closed Access | Times Cited: 3
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
Christian Grimme, Pascal Kerschke, Pelin Aspar, et al.
Computers & Operations Research (2021) Vol. 136, pp. 105489-105489
Open Access | Times Cited: 24
Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems
Miqing Li, Xiaofeng Han, Xiaochen Chu, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 547-556
Closed 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
MOEAs Are Stuck in a Different Area at a Time
Miqing Li, Xiaofeng Han, Xiaochen Chu
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 303-311
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
A Visualizable Test Problem Generator for Many-Objective Optimization
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 1-11
Open Access | Times Cited: 16
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
Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems
Zimin Liang, Zhiji Cui, Miqing Li
Lecture notes in computer science (2024), pp. 299-315
Closed Access | Times Cited: 1
Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search
Quan Phan, Ngoc Hoang Luong
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 348-356
Open Access | Times Cited: 3
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems
Lennart Schäpermeier, Christian Grimme, Pascal Kerschke
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1306-1320
Closed Access | Times Cited: 5
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
Component-wise analysis of automatically designed multiobjective algorithms on constrained problems
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 538-546
Open Access | Times Cited: 4
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective
Arnaud Liefooghe, Sebástien Vérel, Tinkle Chugh, et al.
Lecture notes in computer science (2023), pp. 260-273
Closed Access | Times Cited: 1
On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators
Brahim Aboutaib, Sebástien Vérel, Cyril Fonlupt, et al.
Lecture notes in computer science (2020), pp. 97-110
Open Access | Times Cited: 2
Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations
Melike D. Karatas, Marc Goodfellow, Jonathan E. Fieldsend
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 947-952
Open Access
Benchmarking multiobjective optimizers 2.0
Dimo Brockhoff, Tea Tušar
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 664-668
Open Access
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