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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:

Applied machine learning in Alzheimer's disease research: omics, imaging, and clinical data
Ziyi Li, Xiaoqian Jiang, Yizhuo Wang, et al.
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 6, pp. 765-777
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Phenomic Studies on Diseases: Potential and Challenges
Weihai Ying
Phenomics (2023) Vol. 3, Iss. 3, pp. 285-299
Open Access | Times Cited: 48
Artificial intelligence for dementia—Applied models and digital health
Donald M. Lyall, Andrey Kormilitzin, Claire Lancaster, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5872-5884
Open Access | Times Cited: 24
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges
M. Tanveer, M. Sajid, Mushir Akhtar, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5477-5492
Closed Access | Times Cited: 12
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease
Abdallah M. Eteleeb, Brenna C Novotny, Carolina Soriano‐Tárraga, et al.
PLoS Biology (2024) Vol. 22, Iss. 4, pp. e3002607-e3002607
Open Access | Times Cited: 10
The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Yan Han, Xinglin Zeng, Lin Hua, et al.
Microbiome (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Artificial Intelligence and Circulating Cell-Free DNA Methylation Profiling: Mechanism and Detection of Alzheimer’s Disease
Ray Bahado‐Singh, Uppala Radhakrishna, Juozas Gordevičius, et al.
Cells (2022) Vol. 11, Iss. 11, pp. 1744-1744
Open Access | Times Cited: 23
A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
Lan Lin, Min Xiong, Ge Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1914-1914
Open Access | Times Cited: 15
Mechanistic Intimate Insights into the Role of Hydrogen Sulfide in Alzheimer’s Disease: A Recent Systematic Review
Constantin Munteanu, Daniel Andrei Iordan, Mihail Hoteteu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 20, pp. 15481-15481
Open Access | Times Cited: 11
The role of machine learning in discovering biomarkers and predicting treatment strategies for neurodegenerative diseases: A narrative review
Abdullahi Tunde Aborode, Ogunware Adedayo Emmanuel, Isreal Ayobami Onifade, et al.
NeuroMarkers. (2025) Vol. 2, Iss. 1, pp. 100034-100034
Open Access
Cognitive performance classification of older patients using machine learning and electronic medical records
M. Richter, Ewelina Sobotnicka, Adam Bednorz
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Role of Artificial Intelligence in Early Diagnosis of Alzheimer’s Disease and Associated Vascular Dementia: A Systematic Review
Dharmendra K. Gupta, Arunima Chaudhuri, Abhijit Kanrar
Archives of Medicine and Health Sciences (2025)
Open Access
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
Kesheng Wang, Donald Adjeroh, Wei Fang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2428-2428
Open Access
Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions
Laila Dabab Nahas, Ankur Datta, Alsamman M. Alsamman, et al.
Metabolic Brain Disease (2023) Vol. 39, Iss. 1, pp. 29-42
Open Access | Times Cited: 10
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
Kesheng Wang, Laurie A. Theeke, Christopher Liao, et al.
Journal of the Neurological Sciences (2023) Vol. 453, pp. 120812-120812
Open Access | Times Cited: 9
Integrating AI in fighting advancing Alzheimer: diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials
Francesco Angelucci, Alice Ruixue Ai, Lydia Piendel, et al.
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102857-102857
Closed Access | Times Cited: 3
Investigating the potential of reinforcement learning and deep learning in improving Alzheimer's disease classification
Mahla Hatami, Farzin Yaghmaee, Reza Ebrahimpour
Neurocomputing (2024) Vol. 597, pp. 128119-128119
Closed Access | Times Cited: 3
Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
Wenhao Qi, Xiaohong Zhu, Danni He, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57830-e57830
Open Access | Times Cited: 3
Identification of telomere-related genes associated with aging-related molecular clusters and the construction of a diagnostic model in Alzheimer's disease based on a bioinformatic analysis
Yang Ruan, Weichao Lv, Shuaiyu Li, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106922-106922
Open Access | Times Cited: 8
Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer’s disease—A systematic model evaluation
Aditya Nemali, Niklas Vockert, David Berron, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102913-102913
Open Access | Times Cited: 8
APPROACHES OF MENTAL HEALTH NURSES ON CHILDREN WITH AUTISM SPECTRUM DISORDER (ASD) TO IMPROVE OUTCOMES IN EDUCATION AND BEYOND
Taku Jude Eben
Cognizance Journal of Multidisciplinary Studies (2024) Vol. 4, Iss. 1, pp. 86-244
Open Access | Times Cited: 2
Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
Yuting Zhang, Upamanyu Ghose, Noel J. Buckley, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 12
Microbiome and Metabolome Insights into the Role of the Gastrointestinal–Brain Axis in Parkinson’s and Alzheimer’s Disease: Unveiling Potential Therapeutic Targets
Helena U. Zacharias, Christoph Kaleta, François Cossais, et al.
Metabolites (2022) Vol. 12, Iss. 12, pp. 1222-1222
Open Access | Times Cited: 12
Mild Behavioral Impairment: An Early Sign and Predictor of Alzheimer's Disease Dementia
Fei Jiang, Cheng Cheng, Jinsong Huang, et al.
Current Alzheimer Research (2022) Vol. 19, Iss. 6, pp. 407-419
Closed Access | Times Cited: 11
Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease
Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 10, pp. 1645-1656
Open Access | Times Cited: 6
A Review of Alzheimer’s Disease Identification by Machine Learning
R. P. Harshini, R. Thangarajan
Springer series in reliability engineering (2024), pp. 203-211
Closed Access | Times Cited: 1
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