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:

Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic
Nam Heon Kim, Dong Won Yang, Seong Hye Choi, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 16

Showing 16 citing articles:

A systematic review and methodological analysis of EEG-based biomarkers of Alzheimer's disease
Aslan Modir, Sina Shamekhi, Peyvand Ghaderyan
Measurement (2023) Vol. 220, pp. 113274-113274
Closed Access | Times Cited: 21

Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach
Anna Michela Gaeta, María Quijada-López, Ferrán Barbé, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 6

PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer’s disease
Nam Heon Kim, Ukeob Park, Dong Won Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task
Alberto Arturo Vergani, Salvatore Mazzeo, Valentina Moschini, et al.
NeuroImage Clinical (2025) Vol. 45, pp. 103760-103760
Open Access

CNN for a Regression Machine Learning Algorithm for Predicting Cognitive Impairment Using qEEG
Chanda Simfukwe, Young Chul Youn, Minjae Kim, et al.
Neuropsychiatric Disease and Treatment (2023) Vol. Volume 19, pp. 851-863
Open Access | Times Cited: 10

The Major Hypotheses of Alzheimer’s Disease: Related Nanotechnology-Based Approaches for Its Diagnosis and Treatment
César Cáceres, Bernardita Heusser, Alexandra L. Garnham, et al.
Cells (2023) Vol. 12, Iss. 23, pp. 2669-2669
Open Access | Times Cited: 10

Event-Related Potential Markers of Subject Cognitive Decline and Mild Cognitive Impairment during a sustained visuo-attentive task
Alberto Arturo Vergani, Salvatore Mazzeo, Valentina Moschini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Quantitative electroencephalography (qEEG), apolipoprotein A-I (APOA-I), and apolipoprotein epsilon 4 (APOE ɛ4) alleles for the diagnosis of mild cognitive impairment and Alzheimer’s disease
Xiaoqian Niu, Yuye Wang, Xiangfei Zhang, et al.
Neurological Sciences (2023) Vol. 45, Iss. 2, pp. 547-556
Closed Access | Times Cited: 3

Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkers
Taehyoung Kim, Ukeob Park, Seung Wan Kang
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 4

Characteristics of Attention-Deficit/Hyperactivity Disorder Subtypes in Children Classified Using Quantitative Electroencephalography
Yoonmi Ji, Tae Young Choi, Jonghun Lee, et al.
Neuropsychiatric Disease and Treatment (2022) Vol. Volume 18, pp. 2725-2736
Open Access | Times Cited: 3

Development of an intelligent clinical decision support system for the early prediction of diabetic nephropathy
Mohammad Reza Afrash, Fatemeh Rahimi, Hadi Kazemi-Arpanahi, et al.
Informatics in Medicine Unlocked (2022) Vol. 35, pp. 101135-101135
Open Access | Times Cited: 3

Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms
Mohammad Reza Afrash, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 3

Review on EEG-based Dementia Staging using Machine Learning
A Gopika, N. Suba Chandran, Mahi Sankar A G, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access

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