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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:

Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178

Showing 26-50 of 178 citing articles:

Multimodal fusion diagnosis of the Alzheimer’s disease via lightweight CNN-LSTM model using magnetic resonance imaging (MRI)
Ejaz Ul Haq, Yong Qin, Yuan Zhou, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107545-107545
Closed Access
Evaluation of Machine Learning Models for the Prediction of Alzheimer's: In Search of the Best Performance
Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini
Brain Behavior & Immunity - Health (2025) Vol. 44, pp. 100957-100957
Open Access
Advancing Alzheimer's Therapy: Computational Strategies and Treatment Innovations
Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, et al.
IBRO Neuroscience Reports (2025) Vol. 18, pp. 270-282
Open Access
AI-powered model for accurate prediction of MCI-to-AD progression
Ahmed Abdelhameed, Jingna Feng, Xinyue Hu, et al.
Acta Pharmaceutica Sinica B (2025)
Open Access
Prediction of cognitive conversion within the Alzheimer’s disease continuum using deep learning
Siyu Yang, Xintong Zhang, Xiaoyong Du, et al.
Alzheimer s Research & Therapy (2025) Vol. 17, Iss. 1
Open Access
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline
Minhui Yu, Yuqi Fang, Yunbi Liu, et al.
Neural Networks (2025) Vol. 186, pp. 107263-107263
Closed Access
Electromyography Signals in Embedded Systems: A Review of Processing and Classification Techniques
José Félix Castruita-López, Marcos Avilés, Diana C. Toledo-Pérez, et al.
Biomimetics (2025) Vol. 10, Iss. 3, pp. 166-166
Open Access
Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis
Na Li, Ziming Wang, Wen Ren, et al.
Biomedicines (2025) Vol. 13, Iss. 3, pp. 738-738
Open Access
A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 789-789
Open Access
Lateralized Amplitude Low-frequency Fluctuation Alterations in Mild Cognitive Impairment as a Biomarker for Early Alzheimer’s Disease Detection
Lichang Yao, Zhilin Zhang
Academic Radiology (2025)
Closed Access
Classification of Early Moderate Cognitive Impairment Using Support Vector Machine Based LeNet Classifier
A. S. Shanthi, Biji Rose, Prashant Bachanna, et al.
Journal of Electrical Engineering and Technology (2025)
Closed Access
AGE-IT: Merging Virtual Reality and Artificial Intelligence to Innovate Elderly Assessment with Digital Biomarkers
Stefano De Gaspari, Irene Alice Chicchi Giglioli, Alessandro Capriotti, et al.
Cyberpsychology Behavior and Social Networking (2025)
Closed Access
Smartphone-Based Behavioural Profiling for Distinguishing Dementia with Lewy Bodies from Alzheimer’s Disease
Gajanan S. Revankar, Abhishek C. Salian, Tatsuhiko Ozono, et al.
(2025)
Closed Access
18F-FDG-PET Radiomics Based on White Matter Predicts The Progression of Mild Cognitive Impairment to Alzheimer Disease: A Machine Learning Study
Jiaxuan Peng, Wei Wang, Qiaowei Song, et al.
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1874-1884
Open Access | Times Cited: 19
Illuminating neurodegeneration: a future perspective on near-infrared spectroscopy in dementia research
Sruthi Srinivasan, Emilia Butters, Liam Collins-Jones, et al.
Neurophotonics (2023) Vol. 10, Iss. 02
Open Access | Times Cited: 11
BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG
Ruihan Qin, Zhenxi Song, Huixia Ren, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 2016-2020
Closed Access | Times Cited: 4
Multimodal dementia identification using lifestyle and brain lesions, a machine learning approach
Ahmad Akbarifar, Adel Maghsoudpour, Fatemeh Mohammadian, et al.
AIP Advances (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 4
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
Akhilesh Vyas, Fotis Aisopos, María-Esther Vidal, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 16
Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study
Batuhan K. Karaman, Elizabeth C. Mormino, Mert R. Sabuncu
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277322-e0277322
Open Access | Times Cited: 16
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease
Dan Pan, An Zeng, Baoyao Yang, et al.
Advanced Science (2022) Vol. 10, Iss. 6
Open Access | Times Cited: 16
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
Machine learning in Alzheimer’s disease drug discovery and target identification
Chaofan Geng, Zhibin Wang, Yi Tang
Ageing Research Reviews (2023) Vol. 93, pp. 102172-102172
Closed Access | Times Cited: 10
Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease
Ariana Soares Dias Portela, Vrinda Saxena, Eric H. Rosenn, et al.
Molecular Nutrition & Food Research (2024) Vol. 68, Iss. 13
Open Access | Times Cited: 3
Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive impairment
Wonsik Jung, Si Eun Kim, Jun Pyo Kim, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 3

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