Open Access Helper

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:

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

Showing 26-50 of 45 citing articles:

Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach
Makrina Karaglani, Μαρία Παναγοπούλου, Ismini Baltsavia, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 6, pp. 2959-2959
Open Access | Times Cited: 10
PINC: A Tool for Non-Coding RNA Identification in Plants Based on an Automated Machine Learning Framework
Xiaodan Zhang, Xiaohu Zhou, Midi Wan, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11825-11825
Open Access | Times Cited: 9
Methylation Status of Corticotropin-Releasing Factor (CRF) Receptor Genes in Colorectal Cancer
Μαρία Παναγοπούλου, Antonia Cheretaki, Makrina Karaglani, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 12, pp. 2680-2680
Open Access | Times Cited: 11
Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease
Daniel Bolivar Pimiento, María Isabel Mosquera Heredia, Oscar M. Vidal, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12293-12293
Open Access | Times Cited: 1
Clinical performance of automated machine learning: a systematic review
Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutiérrez, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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
Innovative Approaches to Metabolic dysfunction-associated steatohepatitis Diagnosis and Stratification
Marwa Matboli, Shaimaa Hamady, Maha Saad, et al.
Non-coding RNA Research (2024) Vol. 10, pp. 206-222
Open Access
Fusing Speech and Language Models for Dementia Detection
Tobias Deußer, Abul Hasan Siddiqi, Lorenz Sparrenberg, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3908-3914
Closed Access
Blood biomarker-based classification study for neurodegenerative diseases
Jack Kelly, Rana Moyeed, Camille Carroll, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning
Georgios V. Thomaidis, Konstantinos Papadimitriou, Sotirios Michos, et al.
IBRO Neuroscience Reports (2023) Vol. 15, pp. 77-89
Open Access | Times Cited: 1
OmicPredict: a framework for omics data prediction using ANOVA-Firefly algorithm for feature selection
Parampreet Kaur, Ashima Singh, Inderveer Chana
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 14, pp. 1970-1983
Closed Access | Times Cited: 1
Predicting Alzheimer’s Disease with Multi-Omic Data: A Systematic Review
Anthony Davis, Wilson Mendoza, Daniel Leach, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 1
PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning
Sian Xiao, Hao Tian, Peng Tao
(2021)
Open Access | Times Cited: 1
PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning
Sian Xiao, Hao Tian, Peng Tao
(2021)
Open Access | Times Cited: 1
PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning
Sian Xiao, Hao Tian, Peng Tao
(2021)
Open Access | Times Cited: 1
Predictive Models of Alzheimer's Disease Using Machine Learning Algorithms – An Analysis
G. R. Karpagam, M. Swathipriya, A. G. Charanya, et al.
(2023), pp. 1-21
Closed Access
Analysis and Detection of Alzheimer’s Disease Using Machine Learning Approach
Raghubir Singh Salaria, Neeraj Mohan
Lecture notes in electrical engineering (2023), pp. 703-710
Closed Access
A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning
Georgios V. Thomaidis, Konstantinos Papadimitriou, Sotirios Michos, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning
Sian Xiao, Hao Tian, Peng Tao
(2021)
Open Access
Recent advances in blood and gut microbiota biomarkers for Alzheimer’s disease
Shijing Wu, Hu Li, Lin Tong, et al.
Scientia Sinica Vitae (2021) Vol. 52, Iss. 10, pp. 1511-1521
Closed Access
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