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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:

Early MCI-to-AD Conversion Prediction Using Future Value Forecasting of Multimodal Features
Sidra Minhas, Aasia Khanum, Atif Alvi, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 11

Showing 11 citing articles:

Artificial intelligence-based methods for fusion of electronic health records and imaging data
Farida Mohsen, Hazrat Ali, Nady El Hajj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 90
Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer’s Disease
Maudlyn O. Etekochay, Amoolya Rao Amaravadhi, Gabriel Villarrubia González, et al.
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 1, pp. 1-20
Closed Access | Times Cited: 10
Multimodal ensemble model for Alzheimer's disease conversion prediction from Early Mild Cognitive Impairment subjects
Matthew Velazquez, Yugyung Lee
Computers in Biology and Medicine (2022) Vol. 151, pp. 106201-106201
Open Access | Times Cited: 23
A multimodal machine learning model for predicting dementia conversion in Alzheimer’s disease
Minwoo Lee, Hye Weon Kim, Yeong Sim Choe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Apathy as a Predictor of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Texas Alzheimer’s Research and Care Consortium (TARCC) Cohort-Based Analysis
Haitham Salem, Robert Suchting, Mitzi M. Gonzales, et al.
Journal of Alzheimer s Disease (2023) Vol. 92, Iss. 1, pp. 129-139
Closed Access | Times Cited: 8
Intelligent prediction of Alzheimer’s disease via improved multifeature squeeze-and-excitation-dilated residual network
Zengbei Yuan, Xinlin Li, Zezhou Hao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
The Early Diagnosis of Alzheimer’s Disease: A Patient-Centred Conversation with the Care Team
Ziad Nasreddine, Valentina Garibotto, Simon Kyaga, et al.
Neurology and Therapy (2022) Vol. 12, Iss. 1, pp. 11-23
Open Access | Times Cited: 5
Screening strategies and dynamic risk prediction models for Alzheimer's disease
Xiaoyan Ge, Kai Cui, Yao Qin, et al.
Journal of Psychiatric Research (2023) Vol. 166, pp. 92-99
Open Access | Times Cited: 2
A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries
Adeem Akhtar, Sidra Minhas, Nosheen Sabahat, et al.
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 4
Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using K-Means Clustering on MRI Data
M. Bellezza, Azzurra di Palma, Andrea Frosini
Information (2024) Vol. 15, Iss. 2, pp. 96-96
Open Access
Overview of Artificial Intelligence Methods for Alzheimer’s Disease Prediction and Progression
Carmela Comito, Clara Pizzuti, Marcello Sammarra
(2023), pp. 22-29
Closed Access
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