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:
Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?
Ting Hu
Genetic and evolutionary computation (2020), pp. 63-77
Closed Access | Times Cited: 9
Ting Hu
Genetic and evolutionary computation (2020), pp. 63-77
Closed Access | Times Cited: 9
Showing 9 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: 79
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: 79
Simplification of genetic programs: a literature survey
Noman Javed, Fernand Gobet, Peter C. R. Lane
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 4, pp. 1279-1300
Open Access | Times Cited: 16
Noman Javed, Fernand Gobet, Peter C. R. Lane
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 4, pp. 1279-1300
Open Access | Times Cited: 16
Genetic Programming Theory and Practice XVII
Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, et al.
Genetic and evolutionary computation (2020)
Closed Access | Times Cited: 20
Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, et al.
Genetic and evolutionary computation (2020)
Closed Access | Times Cited: 20
SMILE: systems metabolomics using interpretable learning and evolution
Chengyuan Sha, Miroslava Čuperlović‐Culf, Ting Hu
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Chengyuan Sha, Miroslava Čuperlović‐Culf, Ting Hu
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems
Shaolin Wang, Yi Mei, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 918-932
Closed Access | Times Cited: 4
Shaolin Wang, Yi Mei, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 918-932
Closed Access | Times Cited: 4
Towards Model-Driven Explainable Artificial Intelligence: Function Identification with Grammatical Evolution
Dominik Sepioło, Antoni Ligęza
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5950-5950
Open Access | Times Cited: 1
Dominik Sepioło, Antoni Ligęza
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5950-5950
Open Access | Times Cited: 1
Development of a Mathematical Model for Balloon Diameter Calculation in Percutaneous Transluminal Angioplasty Using Genetic Programming
Leo Benolić
Lecture notes in networks and systems (2024), pp. 7-20
Closed Access
Leo Benolić
Lecture notes in networks and systems (2024), pp. 7-20
Closed Access
Evolutionary approaches to explainable machine learning
Ryan Zhou, Ting Hu
arXiv (Cornell University) (2023)
Open Access
Ryan Zhou, Ting Hu
arXiv (Cornell University) (2023)
Open Access
