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:

3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network
Philippe Boutinaud, Ami Tsuchida, Alexandre Laurent, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Perivascular Spaces, Diffusivity Along Perivascular Spaces, and Free Water in Cerebral Small Vessel Disease
Hao Li, Mina A. Jacob, Mengfei Cai, et al.
Neurology (2024) Vol. 102, Iss. 9
Closed Access | Times Cited: 17

The etiology and evolution of magnetic resonance imaging-visible perivascular spaces: Systematic review and meta-analysis
Serhat V. Okar, Fengling Hu, Russell T. Shinohara, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 27

Vascular cognitive impairment – Past, present, and future challenges
Atef Badji, Jessica Youwakim, Alexandra Cooper, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102042-102042
Open Access | Times Cited: 24

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: 9

Physiology and Clinical Relevance of Enlarged Perivascular Spaces in the Aging Brain
Corey W. Bown, Roxana O. Carare, Matthew Schrag, et al.
Neurology (2021) Vol. 98, Iss. 3, pp. 107-117
Open Access | Times Cited: 52

Deep learning based detection of enlarged perivascular spaces on brain MRI
Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, et al.
Neuroimage Reports (2023) Vol. 3, Iss. 1, pp. 100162-100162
Open Access | Times Cited: 20

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

Automated Methods for Detecting and Quantitation of Enlarged Perivascular spaces on MRI
Jasmine Moses, Ben Sinclair, Meng Law, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 1, pp. 11-24
Open Access | Times Cited: 22

Different Imaging Evaluating Performances Between Glymphatic System and Motor Symptoms and Levodopa Responsiveness of Parkinson Disease
Jin-Huan Deng, Hanwen Zhang, Xinxin Lan, et al.
Journal of Computer Assisted Tomography (2025)
Closed Access

Perivascular space imaging during therapy for medulloblastoma
Ruitian Song, John O. Glass, Shengjie Wu, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318278-e0318278
Open Access

A window into the brain: multimodal MRI assessment of vascular cognitive impairment
Changjun Ma, Ailian Liu, Jiahui Liu, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access

Assessment of perivascular space filtering methods using a three-dimensional computational model
José Bernal, María Valdés Hernández, Javier Escudero, et al.
Magnetic Resonance Imaging (2022) Vol. 93, pp. 33-51
Open Access | Times Cited: 17

Topological relationships between perivascular spaces and progression of white matter hyperintensities: A pilot study in a sample of the Lothian Birth Cohort 1936
Abbie Barnes, Lucia Ballerini, María del C. Valdés Hernández, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 17

Machine Learning–Based Perivascular Space Volumetry in Alzheimer Disease
Katerina Deike‐Hofmann, Andreas Decker, Paul Scheyhing, et al.
Investigative Radiology (2024) Vol. 59, Iss. 9, pp. 667-676
Closed Access | Times Cited: 3

Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter
Haoyu Lan, Kirsten M. Lynch, Rachel M. Custer, et al.
Magnetic Resonance in Medicine (2023) Vol. 89, Iss. 6, pp. 2419-2431
Open Access | Times Cited: 7

Prediction of dementia risk from multimodal repeated measures: The added value of brain MRI biomarkers
Ariane Bercu, Carole Dufouil, Stéphanie Debette, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2024) Vol. 16, Iss. 2
Open Access | Times Cited: 2

Early detection of dopaminergic dysfunction and glymphatic system impairment in Parkinson's disease
Jun Yao, Ting Huang, You‐Yong Tian, et al.
Parkinsonism & Related Disorders (2024) Vol. 127, pp. 107089-107089
Closed Access | Times Cited: 2

Perivascular spaces relate to the course and cognition of Huntington’s disease
Xiaoyan Li, Juan‐Juan Xie, Jinhong Wang, et al.
Translational Neurodegeneration (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 6

Early detection of white matter hyperintensities using SHIVA‐WMH detector
Ami Tsuchida, Philippe Boutinaud, Violaine Verrecchia, et al.
Human Brain Mapping (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 6

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

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review
Jiyang Jiang, Dadong Wang, Yang Song, et al.
NeuroImage (2022) Vol. 261, pp. 119528-119528
Open Access | Times Cited: 8

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