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:
Genomic Machine Learning Meta-regression: Insights on Associations of Study Features With Reported Model Performance
Eric J. Barnett, Daniel G. Onete, Asif Salekin, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 1, pp. 169-177
Open Access | Times Cited: 7
Eric J. Barnett, Daniel G. Onete, Asif Salekin, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 1, pp. 169-177
Open Access | Times Cited: 7
Showing 7 citing articles:
Leakage and the reproducibility crisis in machine-learning-based science
Sayash Kapoor, Arvind Narayanan
Patterns (2023) Vol. 4, Iss. 9, pp. 100804-100804
Open Access | Times Cited: 253
Sayash Kapoor, Arvind Narayanan
Patterns (2023) Vol. 4, Iss. 9, pp. 100804-100804
Open Access | Times Cited: 253
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2960-2974
Open Access | Times Cited: 28
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2960-2974
Open Access | Times Cited: 28
A primer on the use of machine learning to distil knowledge from data in biological psychiatry
Thomas P. Quinn, Jonathan Hess, Victoria S. Marshe, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 2, pp. 387-401
Closed Access | Times Cited: 10
Thomas P. Quinn, Jonathan Hess, Victoria S. Marshe, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 2, pp. 387-401
Closed Access | Times Cited: 10
Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach
Miguel Garcia‐Argibay, Yanli Zhang‐James, Samuele Cortese, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1232-1239
Open Access | Times Cited: 28
Miguel Garcia‐Argibay, Yanli Zhang‐James, Samuele Cortese, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1232-1239
Open Access | Times Cited: 28
Examining the impact of ADHD polygenic risk scores on ADHD and associated outcomes: A systematic review and meta-analysis
Allison Green, Evelyne Baroud, Maura DiSalvo, et al.
Journal of Psychiatric Research (2022) Vol. 155, pp. 49-67
Open Access | Times Cited: 21
Allison Green, Evelyne Baroud, Maura DiSalvo, et al.
Journal of Psychiatric Research (2022) Vol. 155, pp. 49-67
Open Access | Times Cited: 21
EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism
Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, et al.
Brain Sciences (2025) Vol. 15, Iss. 1, pp. 95-95
Open Access
Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, et al.
Brain Sciences (2025) Vol. 15, Iss. 1, pp. 95-95
Open Access
A review of model evaluation metrics for machine learning in genetics and genomics
Catriona Miller, Theo Portlock, Denis M. Nyaga, et al.
Frontiers in Bioinformatics (2024) Vol. 4
Open Access | Times Cited: 3
Catriona Miller, Theo Portlock, Denis M. Nyaga, et al.
Frontiers in Bioinformatics (2024) Vol. 4
Open Access | Times Cited: 3
