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:
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D. Romano, Jason H. Moore
Human Genetics (2021) Vol. 141, Iss. 9, pp. 1529-1544
Open Access | Times Cited: 16
Elisabetta Manduchi, Joseph D. Romano, Jason H. Moore
Human Genetics (2021) Vol. 141, Iss. 9, pp. 1529-1544
Open Access | Times Cited: 16
Showing 16 citing articles:
Precision Medicine Approaches with Metabolomics and Artificial Intelligence
E. Barberis, Shahzaib Khoso, Antonio Sica, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11269-11269
Open Access | Times Cited: 31
E. Barberis, Shahzaib Khoso, Antonio Sica, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11269-11269
Open Access | Times Cited: 31
Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture
K. P. Swain, Sumant Kumar Mohapatra, Santosh Kumar Sahoo
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
K. P. Swain, Sumant Kumar Mohapatra, Santosh Kumar Sahoo
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
Open source ML framework algorithms for biophysical models
Denis A. Andrikov
The European Physical Journal Special Topics (2025)
Closed Access
Denis A. Andrikov
The European Physical Journal Special Topics (2025)
Closed 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
Statistical approaches applicable in managing OMICS data: Urinary proteomics as exemplary case
De‐Wei An, Yu‐Ling Yu, Dries S. Martens, et al.
Mass Spectrometry Reviews (2023) Vol. 43, Iss. 6, pp. 1237-1254
Open Access | Times Cited: 6
De‐Wei An, Yu‐Ling Yu, Dries S. Martens, et al.
Mass Spectrometry Reviews (2023) Vol. 43, Iss. 6, pp. 1237-1254
Open Access | Times Cited: 6
Screening of Breast Cancer from Sweat Samples Analyzed by 2-Dimensional Gas Chromatography-Mass Spectrometry: A Preliminary Study
Michelle Leemans, Vincent Cuzuel, Pierre Bauër, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2939-2939
Open Access | Times Cited: 6
Michelle Leemans, Vincent Cuzuel, Pierre Bauër, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2939-2939
Open Access | Times Cited: 6
Automated Machine Learning in the Smart Construction Era: Significance and Accessibility for Industrial Classification and Regression Tasks
Rui Zhao, Zhongze Yang, Dong Liang, et al.
Lecture notes in operations research (2024), pp. 2005-2020
Closed Access | Times Cited: 1
Rui Zhao, Zhongze Yang, Dong Liang, et al.
Lecture notes in operations research (2024), pp. 2005-2020
Closed Access | Times Cited: 1
Performance of Automated Machine Learning Based Neural Network Estimators for the Classification of PCOS
Pijush Dutta, Shobhandeb Paul, Arindam Sadhu, et al.
(2023), pp. 65-73
Closed Access | Times Cited: 3
Pijush Dutta, Shobhandeb Paul, Arindam Sadhu, et al.
(2023), pp. 65-73
Closed Access | Times Cited: 3
Inference of social cognition in schizophrenia patients with neurocognitive domains and neurocognitive tests using automated machine learning
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
Asian Journal of Psychiatry (2023) Vol. 91, pp. 103866-103866
Closed Access | Times Cited: 2
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
Asian Journal of Psychiatry (2023) Vol. 91, pp. 103866-103866
Closed Access | Times Cited: 2
TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning
Pedro Ribeiro, Anil Kumar Saini, Jay Moran, et al.
Genetic and evolutionary computation (2024), pp. 1-17
Closed Access
Pedro Ribeiro, Anil Kumar Saini, Jay Moran, et al.
Genetic and evolutionary computation (2024), pp. 1-17
Closed Access
Machine learning-based predictive model for type 2 diabetes mellitus using genetic and clinical data
Helen Huang, Adan Khan, Charmy Parikh, et al.
Elsevier eBooks (2024), pp. 177-185
Closed Access
Helen Huang, Adan Khan, Charmy Parikh, et al.
Elsevier eBooks (2024), pp. 177-185
Closed Access
Tree‐Based Pipeline Optimization‐Based Automated‐Machine Learning Model for Performance Prediction of Materials and Structures: Case Studies and UI Design
Shixue Liang, Zhengyu Fei, Junning Wu, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
Shixue Liang, Zhengyu Fei, Junning Wu, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data
Sugandima Vidanagamachchi, K. M. G. T. R. Waidyarathna
Frontiers in Digital Health (2024) Vol. 6
Open Access
Sugandima Vidanagamachchi, K. M. G. T. R. Waidyarathna
Frontiers in Digital Health (2024) Vol. 6
Open Access
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
Comparative analysis of performance of AutoML algorithms: Classification model of payment arrears in students of a private university
Henry Villarreal-Torres, Julio Ángeles-Morales, Jenny Cano-Mejía, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access
Henry Villarreal-Torres, Julio Ángeles-Morales, Jenny Cano-Mejía, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access
