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:
Genetic Programming for Interpretable and Explainable Machine Learning
Ting Hu
Genetic and evolutionary computation (2023), pp. 81-90
Closed Access | Times Cited: 6
Ting Hu
Genetic and evolutionary computation (2023), pp. 81-90
Closed Access | Times Cited: 6
Showing 6 citing articles:
How to Measure Explainability and Interpretability of Machine Learning Results
Elisabeth Mayrhuber, Bogdan Burlacu, Stephan Winkler
Genetic and evolutionary computation (2025), pp. 357-374
Closed Access
Elisabeth Mayrhuber, Bogdan Burlacu, Stephan Winkler
Genetic and evolutionary computation (2025), pp. 357-374
Closed Access
Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods
Luigi Rovito, Lorenzo Bonin, Davide Farinati, et al.
Lecture notes in computer science (2025), pp. 120-138
Closed Access
Luigi Rovito, Lorenzo Bonin, Davide Farinati, et al.
Lecture notes in computer science (2025), pp. 120-138
Closed Access
Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 5, pp. 1455-1469
Closed Access | Times Cited: 8
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 5, pp. 1455-1469
Closed Access | Times Cited: 8
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 998-1006
Closed Access
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 998-1006
Closed Access
Programação Genética para Classificação de Dados de Pacientes Infectados com COVID-19
Gianni R. S. Da Conceição, C. SALVATERRA MAGALHAES
(2024), pp. 65-68
Closed Access
Gianni R. S. Da Conceição, C. SALVATERRA MAGALHAES
(2024), pp. 65-68
Closed Access
Explainable Genetic Programming for Evolving Routing Policies of Uncertain Capacitated Arc Routing Problems
Shaolin Wang
(2023)
Open Access
Shaolin Wang
(2023)
Open Access
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming
Mingqian Lin, Lin Shang, Xiaoying Gao
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 371-378
Closed Access
Mingqian Lin, Lin Shang, Xiaoying Gao
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 371-378
Closed Access
