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:
Eleven quick tips for data cleaning and feature engineering
Davide Chicco, Luca Oneto, Erica Tavazzi
PLoS Computational Biology (2022) Vol. 18, Iss. 12, pp. e1010718-e1010718
Open Access | Times Cited: 31
Davide Chicco, Luca Oneto, Erica Tavazzi
PLoS Computational Biology (2022) Vol. 18, Iss. 12, pp. e1010718-e1010718
Open Access | Times Cited: 31
Showing 26-50 of 31 citing articles:
A Theoretical framework for Harnessing Machine Learning for Digital Forensics in Online Social Networks
Abubakar Wakili, Sara Bakkali
Lecture notes in networks and systems (2024), pp. 200-214
Closed Access
Abubakar Wakili, Sara Bakkali
Lecture notes in networks and systems (2024), pp. 200-214
Closed Access
CrossAAD: Cross-Chain Abnormal Account Detection
Lin Yong, Peng Jiang, Fuchun Guo, et al.
Lecture notes in computer science (2024), pp. 84-104
Closed Access
Lin Yong, Peng Jiang, Fuchun Guo, et al.
Lecture notes in computer science (2024), pp. 84-104
Closed Access
Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Lecture notes in computer science (2023), pp. 196-203
Closed Access | Times Cited: 1
Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
Lecture notes in computer science (2023), pp. 196-203
Closed Access | Times Cited: 1
Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT)
Jason H. Moore, Pedro H. Ribeiro, Nicholas Matsumoto, et al.
Genetic and evolutionary computation (2023), pp. 439-455
Closed Access | Times Cited: 1
Jason H. Moore, Pedro H. Ribeiro, Nicholas Matsumoto, et al.
Genetic and evolutionary computation (2023), pp. 439-455
Closed Access | Times Cited: 1
Machine Learning—Automated Machine Learning (AutoML) for Disease Prediction
Jason H. Moore, Pedro H. Ribeiro, Nicholas Matsumoto, et al.
Springer eBooks (2023), pp. 161-173
Closed Access | Times Cited: 1
Jason H. Moore, Pedro H. Ribeiro, Nicholas Matsumoto, et al.
Springer eBooks (2023), pp. 161-173
Closed Access | Times Cited: 1
Measuring Tourist Experience in Semarang City through an Advanced Recommendation System
Rudi Sutomo, D Pratama
Deleted Journal (2023) Vol. 2, Iss. 2, pp. 192-200
Open Access | Times Cited: 1
Rudi Sutomo, D Pratama
Deleted Journal (2023) Vol. 2, Iss. 2, pp. 192-200
Open Access | Times Cited: 1
An Approach with Machine Learning for Heart Disease Risk Prediction
Fathe Jeribi, Chamandeep Kaur, A. B. Pawar
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 1474-1479
Closed Access
Fathe Jeribi, Chamandeep Kaur, A. B. Pawar
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 1474-1479
Closed Access
