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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:

A metabolite‐based machine learning approach to diagnose Alzheimer‐type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort
Daniel Stamate, Min Kim, Petroula Proitsi, et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions (2019) Vol. 5, Iss. 1, pp. 933-938
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Alzheimer's disease
Philip Scheltens, Bart De Strooper, Miia Kivipelto, et al.
The Lancet (2021) Vol. 397, Iss. 10284, pp. 1577-1590
Open Access | Times Cited: 3009
Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer’s Disease
Chun-Hung Chang, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2761-2761
Open Access | Times Cited: 152
Integrative metabolomics‐genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease
Emrin Horgusluoglu, Ryan Neff, Won‐Min Song, et al.
Alzheimer s & Dementia (2021) Vol. 18, Iss. 6, pp. 1260-1278
Open Access | Times Cited: 108
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 86
Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Laura Winchester, Eric L. Harshfield, Shi Liu, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5860-5871
Open Access | Times Cited: 45
Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights
Alice Tang, Katherine P. Rankin, Gabriel Cerono, et al.
Nature Aging (2024) Vol. 4, Iss. 3, pp. 379-395
Open Access | Times Cited: 25
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 18
Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines
Chima Eke, Emmanuel Jammeh, Xinzhong Li, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 1, pp. 218-226
Open Access | Times Cited: 95
Deep learning meets metabolomics: a methodological perspective
Partho Sen, Santosh Lamichhane, Vivek Bhakta Mathema, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1531-1542
Closed Access | Times Cited: 91
Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
Carlo Fabrizio, Andrea Termine, Carlo Caltagirone, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1473-1473
Open Access | Times Cited: 88
Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization
Seongeun Ryu, Dong-Hoon Shin, Kyungyong Chung
IEEE Access (2020) Vol. 8, pp. 177708-177720
Open Access | Times Cited: 81
An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease
Christopher Clark, Loı̈c Dayon, Mojgan Masoodi, et al.
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 73
Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation
Catherine Bjerre Collin, Tom Gebhardt, Martin Golebiewski, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 166-166
Open Access | Times Cited: 60
Deep learning-based identification of genetic variants: application to Alzheimer’s disease classification
Taeho Jo, Kwangsik Nho, Paula J. Bice, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 49
Interpretable machine learning methods for predictions in systems biology from omics data
David Sidak, Jana Schwarzerová, Wolfram Weckwerth, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 42
Predicting early Alzheimer’s with blood biomarkers and clinical features
Muaath Ebrahim AlMansoori, Sherlyn Jemimah, Ferial Abuhantash, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Diagnostics (2025) Vol. 15, Iss. 4, pp. 434-434
Open Access | Times Cited: 1
AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications
Lauren Petrick, Noam Shomron
Cell Reports Physical Science (2022) Vol. 3, Iss. 7, pp. 100978-100978
Open Access | Times Cited: 36
Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Biomedicines (2023) Vol. 11, Iss. 2, pp. 439-439
Open Access | Times Cited: 21
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 6
Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review
Ylermi Cabrera-León, Patricio García Báez, Pablo Fernández-López, et al.
Journal of Alzheimer s Disease (2024) Vol. 98, Iss. 3, pp. 793-823
Open Access | Times Cited: 6
Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease
Alicia Gómez-Pascual, Talel Naccache, Jin Xu, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108588-108588
Open Access | Times Cited: 6
Accurate Blood-Based Diagnostic Biosignatures for Alzheimer’s Disease via Automated Machine Learning
Makrina Karaglani, Krystallia Gourlia, Ioannis Tsamardinos, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 9, pp. 3016-3016
Open Access | Times Cited: 45
Multivariate analysis of NMR‐based metabolomic data
Julia Debik, Matteo Sangermani, Feng Wang, et al.
NMR in Biomedicine (2021) Vol. 35, Iss. 2
Closed Access | Times Cited: 37
A metabolite panel that differentiates Alzheimer's disease from other dementia types
Longfei Jia, Jianwei Yang, Min Zhu, et al.
Alzheimer s & Dementia (2021) Vol. 18, Iss. 7, pp. 1345-1356
Open Access | Times Cited: 33
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