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:

GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework
Bogdan Burlacu
(2023), pp. 2412-2419
Closed Access | Times Cited: 9

Showing 9 citing articles:

SYREN-HALOFIT: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum
Deaglan J. Bartlett, B. D. Wandelt, Matteo Zennaro, et al.
Astronomy and Astrophysics (2024) Vol. 686, pp. A150-A150
Open Access | Times Cited: 8

A precise symbolic emulator of the linear matter power spectrum
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, et al.
Astronomy and Astrophysics (2024) Vol. 686, pp. A209-A209
Open Access | Times Cited: 6

Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis
Christopher Crary, Wesley Piard, Greg Stitt, et al.
Genetic Programming and Evolvable Machines (2025) Vol. 26, Iss. 1
Closed Access

cp3-bench: a tool for benchmarking symbolic regression algorithms demonstrated with cosmology
Mattias E. Thing, S. M. Koksbang
Journal of Cosmology and Astroparticle Physics (2025) Vol. 2025, Iss. 01, pp. 040-040
Open Access

It’s Time to Revisit the Use of FPGAs for Genetic Programming
Christopher Crary, Greg Stitt, Bogdan Burlacu, et al.
Genetic and evolutionary computation (2025), pp. 275-295
Closed Access

Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws
Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2

Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression
Olivia Zhang, Brianna Grissom, J. Vince Pulido, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2254-2263
Closed Access

Effects of Reducing Redundant Parameters in Parameter Optimization for Symbolic Regression using Genetic Programming
Gabriel Kronberger, Fabrício Olivetti de França
Journal of Symbolic Computation (2024), pp. 102413-102413
Open Access

Integrating Symbolic Regression and Photoplethysmography for Monitoring Blood Pressure Estimation
Farangis Johari, Ronaldo C. Prati, Fabrício Olivetti de França
(2024), pp. 168-179
Closed Access

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