OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Local search in speciation-based bloat control for genetic programming
Perla Juárez‐Smith, Leonardo Trujillo, Mario García-Valdéz, et al.
Genetic Programming and Evolvable Machines (2019) Vol. 20, Iss. 3, pp. 351-384
Closed Access | Times Cited: 10

Showing 10 citing articles:

Explainable Artificial Intelligence by Genetic Programming: A Survey
Yi Mei, Qi Chen, Andrew Lensen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 621-641
Closed Access | Times Cited: 72

Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma
Mohammad Amin Hariri‐Ardebili, Parsa Mahdavi, Farhad Pourkamali‐Anaraki
Construction and Building Materials (2024) Vol. 423, pp. 135782-135782
Closed Access | Times Cited: 7

Generalized uncertainty in surrogate models for concrete strength prediction
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106155-106155
Closed Access | Times Cited: 19

AutoML for Feature Selection and Model Tuning Applied to Fault Severity Diagnosis in Spur Gearboxes
Mariela Cerrada, Leonardo Trujillo, Daniel E. Hernández, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 1, pp. 6-6
Open Access | Times Cited: 23

GSGP-CUDA — A CUDA framework for Geometric Semantic Genetic Programming
Leonardo Trujillo, José Manuel Muñoz Contreras, Daniel E. Hernández, et al.
SoftwareX (2022) Vol. 18, pp. 101085-101085
Open Access | Times Cited: 11

Cellular geometric semantic genetic programming
Lorenzo Bonin, Luigi Rovito, Andrea De Lorenzo, et al.
Genetic Programming and Evolvable Machines (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1

An improved genetic programming algorithm based on bloat control
Wei Zhang, De-Liang Hua, Si-Hai Li, et al.
(2023), pp. 406-413
Closed Access | Times Cited: 1

A benchmark with facile adjustment of difficulty for many-objective genetic programming and its reference set
Makoto Ohki
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2020), pp. 1915-1922
Closed Access | Times Cited: 3

Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control
Perla Juárez‐Smith, Leonardo Trujillo, Mario García-Valdéz, et al.
Mathematical and Computational Applications (2019) Vol. 24, Iss. 3, pp. 78-78
Open Access | Times Cited: 2

Verification of Applicability of MOEAs to Many-Objective GP Problem
Makoto Ohki
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2020), pp. 837-842
Closed Access

Page 1

Scroll to top