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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:

A survey of genetic improvement search spaces
Justyna Petke, Brad Alexander, Earl T. Barr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2019)
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Large language model based mutations in genetic improvement
Alexander E. I. Brownlee, James P. Callan, Karine Even-Mendoza, et al.
Automated Software Engineering (2025) Vol. 32, Iss. 1
Open Access
Deep Mutations have Little Impact
William B. Langdon, David Clark
(2024), pp. 1-8
Closed Access | Times Cited: 3
Program transformation landscapes for automated program modification using Gin
Justyna Petke, Brad Alexander, Earl T. Barr, et al.
Empirical Software Engineering (2023) Vol. 28, Iss. 4
Open Access | Times Cited: 7
Empirical Comparison of Search Heuristics for Genetic Improvement of Software
Aymeric Blot, Justyna Petke
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 1001-1011
Open Access | Times Cited: 14
Genetic Improvement of LLVM Intermediate Representation
William B. Langdon, Afnan Al-Subaihin, Aymeric Blot, et al.
Lecture notes in computer science (2023), pp. 244-259
Closed Access | Times Cited: 5
Genetic Improvement of OLC and H3 with Magpie
William B. Langdon, Bradley Alexander
(2023), pp. 9-16
Open Access | Times Cited: 5
Injecting Shortcuts for Faster Running Java Code
Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Open Access | Times Cited: 14
Failed disruption propagation in integer genetic programming
William B. Langdon
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 574-577
Open Access | Times Cited: 6
Dissipative polynomials
William B. Langdon, Justyna Petke, David Clark
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 1683-1691
Open Access | Times Cited: 8
Improving Readability of Scratch Programs with Search-based Refactoring
F.T. Adler, Gordon Fraser, Eva Gründinger, et al.
(2021), pp. 120-130
Open Access | Times Cited: 8
Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator Efficacy
Marta Smigielska, Aymeric Blot, Justyna Petke
(2021), pp. 1-8
Open Access | Times Cited: 7
Genetic Improvement: Taking real-world source code and improving it using computational search methods
Alexander E. I. Brownlee, Sæmundur Ó. Haraldsson, John R. Woodward, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1197-1230
Closed Access
Digging into Semantics: Where Do Search-Based Software Repair Methods Search?
Hammad Ahmad, Padriac Cashin, Stephanie Forrest, et al.
Lecture notes in computer science (2022), pp. 3-18
Closed Access | Times Cited: 3
Deep imperative mutations have less impact
William B. Langdon, David J. Clark
Automated Software Engineering (2024) Vol. 32, Iss. 1
Open Access
A Novel Approach For Search-Based Program Repair
Leonardo Trujillo, Omar M. Villanueva, Daniel E. Hernández
IEEE Software (2021) Vol. 38, Iss. 4, pp. 36-42
Closed Access | Times Cited: 4
Response to comments on “Jaws 30”
William B. Langdon
Genetic Programming and Evolvable Machines (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 1
Estimating the potential of program repair search spaces with commit analysis
Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav, et al.
Journal of Systems and Software (2022) Vol. 188, pp. 111263-111263
Open Access | Times Cited: 2
Genetic improvement
Sæmundur Ó. Haraldsson, John R. Woodward, Markus Wagner
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2020), pp. 801-831
Open Access | Times Cited: 2
Synthetic Benchmarks for Genetic Improvement
Aymeric Blot, Justyna Petke
(2020), pp. 287-288
Open Access | Times Cited: 2
Empirical Analysis of 1-edit Degree Patches in Syntax-Based Automatic Program Repair
Piotr Dziurzański, Simos Gerasimou, Dimitrios S. Kolovos, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-10
Closed Access | Times Cited: 1
Deep Genetic Programming Trees Are Robust
William B. Langdon
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 2, pp. 1-34
Open Access | Times Cited: 1
A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones
Mahmoud A. Bokhari, Bradley Alexander
Empirical Software Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 1
Improving Readability of Scratch Programs with Search-based Refactoring
F.T. Adler, Gordon Fraser, Eva Gründinger, et al.
(2021)
Open Access | Times Cited: 1
Genetic improvement
Sæmundur Ó. Haraldsson, Alexander E. I. Brownlee, John R. Woodward, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 786-817
Closed Access | Times Cited: 1
Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search
Joseph Renzullo, Westley Weimer, Stephanie Forrest
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 4, pp. 1-32
Open Access
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