OpenAlex Citation Counts

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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:

Applications of machine learning in metabolomics: Disease modeling and classification
Aya Galal, Marwa Talal, Ahmed A. Moustafa
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Metabolomics and chemometrics: The next-generation analytical toolkit for the evaluation of food quality and authenticity
Pascual García-Pérez, Pier Paolo Becchi, Leilei Zhang, et al.
Trends in Food Science & Technology (2024) Vol. 147, pp. 104481-104481
Open Access | Times Cited: 24

Artificial intelligence in metabolomics: a current review
Jinhua Chi, Jingmin Shu, Ming Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 178, pp. 117852-117852
Closed Access | Times Cited: 17

Artificial intelligence in the management of metabolic disorders: a comprehensive review
A Anwar, Simran Rana, Priya Pathak
Journal of Endocrinological Investigation (2025)
Closed Access | Times Cited: 2

Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabolomics
Pedro Henrique Godoy Sanches, Natália Melo, Andréia M. Porcari, et al.
Biology (2024) Vol. 13, Iss. 11, pp. 848-848
Open Access | Times Cited: 12

A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome
Md. Shaheenur Islam Sumon, Md. Sakib Abrar Hossain, Haya Al‐Sulaiti, et al.
Metabolites (2025) Vol. 15, Iss. 1, pp. 44-44
Open Access | Times Cited: 1

Metabolomics and (craft) beers – recent advances
Nikko Angelo S. Carisma, Mariafe Calingacion
Food Research International (2025) Vol. 205, pp. 116010-116010
Closed Access | Times Cited: 1

Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics
Fatma Hilal Yağın, Şeyma Yaşar, Yasin Görmez, et al.
Metabolites (2023) Vol. 13, Iss. 12, pp. 1204-1204
Open Access | Times Cited: 18

Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics
Olatomiwa O. Bifarin, Facundo M. Fernández
Journal of the American Society for Mass Spectrometry (2024) Vol. 35, Iss. 6, pp. 1089-1100
Open Access | Times Cited: 7

Review of Predicting Synergistic Drug Combinations
Yichen Pan, Haotian Ren, Liang Lan, et al.
Life (2023) Vol. 13, Iss. 9, pp. 1878-1878
Open Access | Times Cited: 14

Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 5

The Diagnostic Potential of the Human Blood Microbiome: Are We Dreaming or Awake?
Francesca Sciarra, Edoardo Franceschini, Federica Campolo, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 13, pp. 10422-10422
Open Access | Times Cited: 12

Plasma Instead of Serum Avoids Critical Confounding of Clinical Metabolomics Studies by Platelets
Gerhard Hagn, Samuel M. Meier, Günter Plessl-Walder, et al.
Journal of Proteome Research (2024) Vol. 23, Iss. 8, pp. 3064-3075
Open Access | Times Cited: 4

Mechanotransducive surfaces for enhanced cell osteogenesis, a review
Rosalia Cuahtecontzi Delint, Hussain Jaffery, Mohd I. Ishak, et al.
Biomaterials Advances (2024) Vol. 160, pp. 213861-213861
Open Access | Times Cited: 4

Transforming Neurodegenerative Disorder Care with Machine Learning: Strategies and Applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
(2025)
Closed Access

Precision Dietary Intervention: Gut Microbiome and Meta-metabolome as Functional Readouts
Jing Luo, Yulan Wang
Phenomics (2025) Vol. 5, Iss. 1, pp. 23-50
Closed Access

Machine Learning Techniques in Hydrogeological Research
Song He, Xiaoping Zhou, Yuan Liu, et al.
Springer hydrogeology (2025), pp. 137-164
Closed Access

Serum Metabolic Signatures and MetalnFF Diagnostic Score for Mild and Moderate Metabolic Dysfunction-Associated Steatotic Liver Disease
Yang Chen, Y. Wang, Tuo Shen, et al.
Journal of Pharmaceutical and Biomedical Analysis (2025) Vol. 260, pp. 116772-116772
Closed Access

Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning
Ellen Vanden Broecke, Laurens Van Mulders, Ellen De Paepe, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

EQLC-EC: An Efficient Voting Classifier for 1D Mass Spectrometry Data Classification
Guo Lin, Yinchu Wang, Zilong Liu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 968-968
Open Access

Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access

Disrupted fetal carbohydrate metabolism in children with autism spectrum disorder
Serena B. Gumusoglu, Brandon Schickling, Donna A. Santillan, et al.
Journal of Neurodevelopmental Disorders (2025) Vol. 17, Iss. 1
Open Access

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