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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:

Prediction of transition from mild cognitive impairment to Alzheimer's disease based on a logistic regression–artificial neural network–decision tree model
Jie Kuang, Pin Zhang, TianPan Cai, et al.
Geriatrics and gerontology international/Geriatrics & gerontology international (2020) Vol. 21, Iss. 1, pp. 43-47
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique
Healthcare (2022) Vol. 10, Iss. 3, pp. 541-541
Open Access | Times Cited: 314
Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer’s Disease
Loveleen Gaur, Mohan Bhandari, Bhadwal Singh Shikhar, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2022) Vol. 20, Iss. 2, pp. 1-16
Closed Access | Times Cited: 38
A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm
Yasmina M. Elgammal, M. A. Zahran, Mohamed M. Abdelsalam
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Impact of tobacco smoking on disease-specific outcomes in common neurological disorders: A scoping review
Farah Wahbeh, Daniel Restifo, Sa’ad Laws, et al.
Journal of Clinical Neuroscience (2024) Vol. 122, pp. 10-18
Closed Access | Times Cited: 6
Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis
Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, et al.
Brain and Behavior (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 5
Association between social networks and cognitive impairment among older Chinese adults: the mediating effect of depression
Zhuo Zhang, Ying Bian
Frontiers in Aging Neuroscience (2025) Vol. 16
Open Access
Identifying Alzheimer’s disease and mild cognitive impairment with atlas-based multi-modal metrics
Zhuqing Long, Jie Li, Jiang-hua Fan, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 10
Predictive models of Alzheimer’s disease dementia risk in older adults with mild cognitive impairment: a systematic review and critical appraisal
Xiaotong Wang, Shi Zhou, Niansi Ye, et al.
BMC Geriatrics (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Predicting Conversion Time from Mild Cognitive Impairment to Dementia with Interval-Censored Models
Yahui Zhang, Yulin Li, Shangchen Song, et al.
Journal of Alzheimer s Disease (2024) Vol. 101, Iss. 1, pp. 147-157
Closed Access | Times Cited: 3
Classification Performance of Neural Networks Versus Logistic Regression Models: Evidence From Healthcare Practice
Richard Issitt, Mario Cortina‐Borja, William Bryant, et al.
Cureus (2022)
Open Access | Times Cited: 15
Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer’s and Parkinson’s Diseases
Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, et al.
Lecture notes in computer science (2023), pp. 443-455
Closed Access | Times Cited: 7
Predictive Models for the Transition from Mild Neurocognitive Disorder to Major Neurocognitive Disorder: Insights from Clinical, Demographic, and Neuropsychological Data
Anna Tsiakiri, Christos Bakirtzis, Spyridon Plakias, et al.
Biomedicines (2024) Vol. 12, Iss. 6, pp. 1232-1232
Open Access | Times Cited: 2
Alzheimer’s disease: from early pathogenesis to novel therapeutic approaches
Santosh Kumar Prajapati, Arjit Pathak, Puneet K. Samaiya
Metabolic Brain Disease (2024) Vol. 39, Iss. 6, pp. 1231-1254
Closed Access | Times Cited: 2
Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study
Pin Zhang, Lei Wu, Ting-Ting Zou, et al.
JMIR Formative Research (2023) Vol. 8, pp. e48487-e48487
Open Access | Times Cited: 6
Deep Learning of Speech Data for Early Detection of Alzheimer’s Disease in the Elderly
Kichan Ahn, Minwoo Cho, Sukwha Kim, et al.
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1093-1093
Open Access | Times Cited: 5
Alzheimer’s disease: new insight in assessing of amyloid plaques morphologies using multifractal geometry based on Naive Bayes optimized by random forest algorithm
E. Amin, Yasmina M. Elgammal, M. A. Zahran, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Complexity measures reveal age-dependent changes in electroencephalogram during working memory task
Hamad Javaid, Muhammad Nouman, Dania Cheaha, et al.
Behavioural Brain Research (2024) Vol. 470, pp. 115070-115070
Closed Access | Times Cited: 1
Serum Protein-Based Profiles for the Diagnostic Model of Alzheimer’s Disease
Yang Li, Liang He, Zhibin Bu, et al.
American Journal of Alzheimer s Disease & Other Dementias® (2023) Vol. 38
Open Access | Times Cited: 3
Prediction of Early Alzheimer Disease by Hippocampal Volume Changes under Machine Learning Algorithm
Qun Shang, Qi Zhang, Xiao Liu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 4
A Role for Prior Knowledge in Statistical Classification of the Transition from Mild Cognitive Impairment to Alzheimer’s Disease
Zihuan Liu, Tapabrata Maiti, Andrew R. Bender
Journal of Alzheimer s Disease (2021) Vol. 83, Iss. 4, pp. 1859-1875
Closed Access | Times Cited: 5
Development of a Sex-Specific Risk Scoring System for the Prediction of Cognitively Normal People to Patients With Mild Cognitive Impairment (SRSS-CNMCI)
Wen Luo, Hao Wen, Shuqi Ge, et al.
Frontiers in Aging Neuroscience (2022) Vol. 13
Open Access | Times Cited: 3
Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data
Yang Xi, Qian Wang, Chenxue Wu, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access
Studying Into the Diagnostic and Therapeutic Applications of Machine Learning Algorithms in Medicine
Swati Shirke, Rahul Ganpatrao Sonkamble, Sonali Patil, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 165-200
Closed Access
Predictive ability of the clock drawing test to detect mild cognitive impairment and dementia over time: Results from the HELIAD study
Yiannis Tsiaras, Grigoris Kiosseoglou, Efthimios Dardiotis, et al.
The Clinical Neuropsychologist (2023) Vol. 37, Iss. 8, pp. 1651-1668
Closed Access | Times Cited: 1
Identifying the candidate genes using co-expression, GO, and machine learning techniques for Alzheimer’s disease
Shailendra Sahu, Pankaj Singh Dholaniya, T. Sobha Rani
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Closed Access | Times Cited: 2
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