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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:

A critical guide to the automated quantification of perivascular spaces in magnetic resonance imaging
William Pham, Miranda Lynch, Gershon Spitz, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain
Jennifer M.J. Waymont, María Valdés Hernández, José Bernal, et al.
NeuroImage (2024) Vol. 297, pp. 120685-120685
Open Access | Times Cited: 10
A Closer Look at the Perivascular Unit in the Development of Enlarged Perivascular Spaces in Obesity, Metabolic Syndrome, and Type 2 Diabetes Mellitus
Melvin R. Hayden
Biomedicines (2024) Vol. 12, Iss. 1, pp. 96-96
Open Access | Times Cited: 5
Avenues in the Analysis of Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images Acquired at 1.5T and 3T Magnetic Field Strengths
Maria C. Valdés Hernández, Roberto Duarte Coello, Alexandra Morozova, et al.
Neuroimaging Clinics of North America (2025)
Closed Access
MRI quantified enlarged perivascular space volumes as imaging biomarkers correlating with severity of anxiety depression in young adults with long-time mobile phone use
Li Li, Yalan Wu, Jiaojiao Wu, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis
Jesse Phitidis, Alison Q. O’Neil, William Whiteley, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108715-108715
Open Access
Advances in imaging
Emrah Düzel, José Bernal
Elsevier eBooks (2025), pp. 123-148
Closed Access
Imaging brain fluid dynamics and waste clearance involving perivascular spaces in cerebral small vessel disease
Gemma Solé‐Guardia, Hao Li, Luc Willemse, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 4
Open Access
Understanding central nervous system fluid networks: Historical perspectives and a revised model for clinical neurofluid imaging.
Rupal I. Mehta, Rashi I. Mehta
NMR in Biomedicine (2024) Vol. 37, Iss. 9, pp. e5149-e5149
Open Access | Times Cited: 3
Cerebrospinal fluid efflux through dynamic paracellular pores on venules as a missing piece of the brain drainage system
Yaqiong Dong, Ting Xu, Lan Yuan, et al.
Exploration (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 8
Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images
Roberto Duarte Coello, María del C. Valdés Hernández, Jaco J.M. Zwanenburg, et al.
Journal of Neuroscience Methods (2023) Vol. 403, pp. 110039-110039
Open Access | Times Cited: 8
The CADA-MRIT
R. Zhang, Chih‐Hao Chen, Sophie Tézenas du Montcel, et al.
Neurology (2023) Vol. 101, Iss. 17
Open Access | Times Cited: 7
Assessment of Perivascular Space Morphometry Across the White Matter in Huntington’s Disease Using MRI
Annabelle Coleman, Mackenzie Langan, Gaurav Verma, et al.
Journal of Huntington s Disease (2024) Vol. 13, Iss. 1, pp. 91-101
Open Access | Times Cited: 2
A “glympse” into neurodegeneration: Diffusion MRI and cerebrospinal fluid aquaporin‐4 for the assessment of glymphatic system in Alzheimer's disease and other dementias
Luca Sacchi, Federico D’Agata, C. Campisi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 12
Open Access | Times Cited: 2
Influence of threshold selection and image sequence in in-vivo segmentation of enlarged perivascular spaces
María Valdés Hernández, Roberto Duarte Coello, William Xu, et al.
Journal of Neuroscience Methods (2023) Vol. 403, pp. 110037-110037
Open Access | Times Cited: 5
Development and validation of a perivascular space segmentation method in multi-center datasets
Peiyu Huang, Lingyun Liu, Yao Zhang, et al.
NeuroImage (2024) Vol. 298, pp. 120803-120803
Open Access | Times Cited: 1
Lifetime history of head injury is associated with reduced perivascular space number in acute mild traumatic brain injury
Kiersten Jade Garcia, Grace Brolly, Daniel Ng, et al.
Brain Communications (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 1
A trichotomy method for defining homogeneous subgroups in a dementia population
Arvind Caprihan, Laura J. Hillmer, Erik B. Erhardt, et al.
Annals of Clinical and Translational Neurology (2023) Vol. 10, Iss. 10, pp. 1802-1815
Open Access | Times Cited: 3
A Systematic Review and Meta-Analysis of Automated Methods for Quantifying Enlarged Perivascular Spaces in the Brain
Jennifer M.J. Waymont, María Valdés Hernández, José Bernal, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A novel perspective for exploring the relationship between cerebral small vessel disease and deep medullary veins with automatic segmentation
Yucan Han, Hui Chen, Xin Cao, et al.
Clinical Radiology (2024) Vol. 79, Iss. 7, pp. e933-e940
Closed Access
Time-of-Flight MRA of Intracranial Aneurysms with Interval Surveillance, Clinical Segmentation and Annotations
Chloe M. de Nys, Ee Shern Liang, Marita Prior, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Change in Enlarged Perivascular Spaces over Time and Associations with Outcomes After Traumatic Brain Injury
Alexa E. Walter, Krupa Savalia, Jason Yoon, et al.
Neurotrauma Reports (2024) Vol. 5, Iss. 1, pp. 738-748
Closed Access
Imaging of enlarged perivascular spaces in Alzheimer’s disease with MRI techniques
Wanyin Ma, Xinxin Wang, Renhua Wu
Radiology Science (2024) Vol. 3, Iss. 1
Closed Access
Deep-learning-based segmentation of perivascular spaces on T2-Weighted 3T magnetic resonance images
Die Cai, Minmin Pan, Chenyuan Liu, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
GLoMS-Net: a global-local interactive multi-scale network for perivascular spaces segmentation
Zhijie Xu, Xue Zhang, Binbin Sui, et al.
(2024), pp. 66-66
Closed Access
Identification of a T2-hyperintense Perivascular Space in Brain Arteriovenous Malformations
Thomas Wälchli, Kartik Bhatia, Will Guest, et al.
In Vivo (2024) Vol. 39, Iss. 1, pp. 280-291
Open Access
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