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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:

Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
Joseph Giorgio, Susan Landau, William J. Jagust, et al.
NeuroImage Clinical (2020) Vol. 26, pp. 102199-102199
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI
Nabil M. AbdelAziz, Wael Said, Mohamed M. AbdelHafeez, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Comorbidity Trajectories Associated With Alzheimer’s Disease: A Matched Case-Control Study in a United States Claims Database
Lesley M. Butler, Richard Houghton, Anup Abraham, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 15
Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models
Rui Li, Eric L. Harshfield, Steven Bell, et al.
Cerebral Circulation - Cognition and Behavior (2023) Vol. 5, pp. 100179-100179
Open Access | Times Cited: 6
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review
Pindong Chen, Shirui Zhang, Kun Zhao, et al.
Brain Research (2023) Vol. 1823, pp. 148675-148675
Closed Access | Times Cited: 6
Fine-Tuning VGG16 for Alzheimer’s Disease Diagnosis
Huong Hoang Luong, Phong Thanh Vo, Hau Cong Phan, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 68-79
Closed Access | Times Cited: 5
Neurological update: neuroimaging in dementia
Timothy Rittman
Journal of Neurology (2020) Vol. 267, Iss. 11, pp. 3429-3435
Open Access | Times Cited: 13
GC-CNNnet: Diagnosis of Alzheimer’s Disease with PET Images Using Genetic and Convolutional Neural Network
Morteza Amini, Mir Mohsen Pedram, Alireza Moradi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8
Biomarkers of diagnosis, prognosis, pathogenesis, response to therapy: Convergence or divergence? Lessons from Alzheimer's disease and synucleinopathies
Stefano L. Sensi, Mirella Russo, Pietro Tiraboschi
Handbook of clinical neurology (2023), pp. 187-218
Closed Access | Times Cited: 4
Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences
Wilfredo López-Ojeda, Robin A. Hurley
Journal of Neuropsychiatry (2023) Vol. 35, Iss. 4, pp. 316-320
Closed Access | Times Cited: 4
Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction
Michael C. Burkhart, Liz Yuanxi Lee, Delshad Vaghari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
Karl Herholz
Brain Sciences (2022) Vol. 12, Iss. 2, pp. 146-146
Open Access | Times Cited: 6
Multiple Cognitive and Behavioral Factors Link Association Between Brain Structure and Functional Impairment of Daily Instrumental Activities in Older Adults
Seyul Kwak, Su Mi Park, Yeong-Ju Jeon, et al.
Journal of the International Neuropsychological Society (2021) Vol. 28, Iss. 7, pp. 673-686
Closed Access | Times Cited: 8
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease
Angela Lombardi, Domenico Diacono, Nicola Amoroso, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 6
Cognitively supernormal older adults maintain a unique structural connectome that is resistant to Alzheimer’s pathology
Quanjing Chen, Timothy M. Baran, Brian Rooks, et al.
NeuroImage Clinical (2020) Vol. 28, pp. 102413-102413
Open Access | Times Cited: 7
Simulating the Effects of Common Comedications and Genotypes on Alzheimer’s Cognitive Trajectory Using a Quantitative Systems Pharmacology Approach
Hugo Geerts, Äthan Spiros
Journal of Alzheimer s Disease (2020) Vol. 78, Iss. 1, pp. 413-424
Closed Access | Times Cited: 6
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
Toward a Multimodal Computer-Aided Diagnostic Tool for Alzheimer’s Disease Conversion
Danilo Peña, Jessika Suescun, Mya C. Schiess, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 4
Machine Learning Decomposition of the Anatomy of Neuropsychological Deficit in Alzheimer’s Disease and Mild Cognitive Impairment
Ningxin Dong, Chang-yong Fu, Renren Li, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 4
How can secondary dementia prevention trials of Alzheimer's disease be clinically meaningful?
Kathy Liu, Madhav Thambisetty, Robert Howard
Alzheimer s & Dementia (2022) Vol. 19, Iss. 3, pp. 1073-1085
Open Access | Times Cited: 4
Apolipoprotein E allele 4 effects on Single-Subject Gray Matter Networks in Mild Cognitive Impairment
Gretel Sanabria-Díaz, Jean‐François Démonet, Borja Rodríguez‐Herreros, et al.
NeuroImage Clinical (2021) Vol. 32, pp. 102799-102799
Open Access | Times Cited: 4
Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis
Atif Mehmood, Zhonglong Zheng, Rizwan Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 2, pp. 2081-2098
Open Access
Machine Learning driven by MRI for the classification of Alzheimer's disease progression: systematic review and meta-analysis (Preprint)
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
(2024)
Closed Access
Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
JMIR Aging (2024) Vol. 7, pp. e59370-e59370
Open Access
Predicting cognitive decline in a low-dimensional representation of brain morphology
Rémi Lamontagne‐Caron, Patrick Desrosiers, Olivier Potvin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia
Ying Shen, Lu Qian, Tianjiao Zhang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 2

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