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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:

Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer’s disease
Kevin Blanco, Stefanny Salcidua, Paulina Orellana, et al.
Alzheimer s Research & Therapy (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 18

Showing 18 citing articles:

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
Diabetes accelerates Alzheimer's disease progression in the first year post mild cognitive impairment diagnosis
Xiahao Ding, Yin Li, Lin Zhang, et al.
Alzheimer s & Dementia (2024) Vol. 20, Iss. 7, pp. 4583-4593
Open Access | Times Cited: 14
An exploration of distinguishing subjective cognitive decline and mild cognitive impairment based on resting-state prefrontal functional connectivity assessed by functional near-infrared spectroscopy
Zhengping Pu, Hongna Huang, Man Li, et al.
Frontiers in Aging Neuroscience (2025) Vol. 16
Open Access
Green finance, climate change, and economic cycles: Sustaining innovation in technology
Yanjun Guan, Ruoshui Bai, Yiqi He
Technological Forecasting and Social Change (2025) Vol. 215, pp. 124055-124055
Closed Access
Deep Reinforced Cognitive Analytics Algorithm (DRCAM): An Advanced Method to early detection of Cognitive skill impairment using Deep Learning and Reinforcement Learning
Sunita Patil, Shaveta Malik
MethodsX (2025), pp. 103277-103277
Open Access
Leveraging innovative diagnostics as a tool to contain superbugs
Ngozi Joannes Anyaegbunam, Kenneth Emenike Okpe, Aisha Bisola Bello, et al.
Antonie van Leeuwenhoek (2025) Vol. 118, Iss. 4
Closed Access
Biomarkers of neurodegeneration across the Global South
Eimear McGlinchey, Claudia Durán-Aniotz, Rufus Akinyemi, et al.
The Lancet Healthy Longevity (2024), pp. 100616-100616
Open Access | Times Cited: 4
A Survey on Computational Methods in Drug Discovery for Neurodegenerative Diseases
Caterina Vicidomini, Francesco Fontanella, Tiziana D’Alessandro, et al.
Biomolecules (2024) Vol. 14, Iss. 10, pp. 1330-1330
Open Access | Times Cited: 4
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
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
Characterizing the clinical heterogeneity of early symptomatic Alzheimer’s disease: a data-driven machine learning approach
Xiwu Wang, Teng Ye, Deguo Jiang, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 1
Machine Learning Model for Mild Cognitive Impairment Stage Based on Gait and MRI Images
Ingyu Park, Sang‐Kyu Lee, Hui‐Chul Choi, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 480-480
Open Access | Times Cited: 1
Trajectories of cognitive function development and predictive factors in disabled middle-aged and older adults
Jiaxue Pang, Yang Xu, Qiankun Liu, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
The application of artificial intelligence in diagnosis of Alzheimer’s disease: a bibliometric analysis
Xiaoqiong An, Jun He, Bin Bi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Dynamic Individual Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer’S Disease Using Joint Modeling
Abderazzak Mouiha, Olivier Potvin, Simon Duchesne
(2024)
Open Access
Dynamic Individual Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Joint Modeling
Abderazzak Mouiha, Olivier Potvin, Simon Duchesne
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The effects of machine learning algorithms in magnetic resonance imaging (MRI), and biomarkers on early detection of Alzheimer's disease
Shinali Shah, Manan Shah
Advances in Biomarker Sciences and Technology (2024) Vol. 6, pp. 191-208
Open Access
EBF1 is a potential biomarker for predicting progression from mild cognitive impairment to Alzheimer's disease: an in silico study
Yanxiu Ju, Songtao Li, Xiangyi Kong, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
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