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:
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
Showing 8 citing articles:
EvoFeat: Genetic Programming-Based Feature Engineering Approach to Tabular Data Classification
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Genetic and evolutionary computation (2025), pp. 27-49
Closed Access
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Genetic and evolutionary computation (2025), pp. 27-49
Closed Access
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Lecture notes in computer science (2024), pp. 142-158
Closed Access
Hengzhe Zhang, Qi Chen, Bing Xue, et al.
Lecture notes in computer science (2024), pp. 142-158
Closed Access
MIFuGP: Boolean network inference from multivariate time series using fuzzy genetic programming
Xiang Liu, Yan Wang, Shan Liu, et al.
Information Sciences (2024) Vol. 680, pp. 121129-121129
Closed Access
Xiang Liu, Yan Wang, Shan Liu, et al.
Information Sciences (2024) Vol. 680, pp. 121129-121129
Closed Access
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
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression
Jizhong Xu, Qi Chen, Bing Xue, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 01-08
Closed Access
Jizhong Xu, Qi Chen, Bing Xue, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 01-08
Closed Access
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values
Mohamad Rimas, Mohamad Anfar, Qi Chen, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Mohamad Rimas, Mohamad Anfar, Qi Chen, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Semantics-guided multi-task genetic programming for multi-output regression
Chunyu Wang, Qi Chen, Bing Xue, et al.
Pattern Recognition (2024), pp. 111289-111289
Open Access
Chunyu Wang, Qi Chen, Bing Xue, et al.
Pattern Recognition (2024), pp. 111289-111289
Open Access
Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection
Chunyu Wang, Qi Chen, Bing Xue, et al.
Data Science and Engineering (2024)
Open Access
Chunyu Wang, Qi Chen, Bing Xue, et al.
Data Science and Engineering (2024)
Open Access
