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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:

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions
Florian Dubost, Pınar Yilmaz, Hieab H.H. Adams, et al.
NeuroImage (2018) Vol. 185, pp. 534-544
Open Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 654
Imaging perivascular space structure and function using brain MRI
Giuseppe Barisano, Kirsten M. Lynch, Francesca Sibilia, et al.
NeuroImage (2022) Vol. 257, pp. 119329-119329
Open Access | Times Cited: 72
Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches
Katarzyna Borys, Yasmin Alyssa Schmitt, Meike Nauta, et al.
European Journal of Radiology (2023) Vol. 162, pp. 110787-110787
Open Access | Times Cited: 57
Emerging non-invasive MRI techniques for glymphatic system assessment in neurodegenerative disease
D. Botta, Ioana Hutuca, Elyas El Ghoul, et al.
Journal of Neuroradiology (2025) Vol. 52, Iss. 3, pp. 101322-101322
Closed Access | Times Cited: 3
Image processing approaches to enhance perivascular space visibility and quantification using MRI
Farshid Sepehrband, Giuseppe Barisano, Nasim Sheikh‐Bahaei, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 106
Perivascular spaces and brain waste clearance systems: relevance for neurodegenerative and cerebrovascular pathology
Kaylene Gouveia-Freitas, António J. Bastos‐Leite
Neuroradiology (2021) Vol. 63, Iss. 10, pp. 1581-1597
Open Access | Times Cited: 100
Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration
Eric E. Smith, Geert Jan Biessels, François De Guio, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2019) Vol. 11, Iss. 1, pp. 191-204
Open Access | Times Cited: 99
Perivascular space dilation is associated with vascular amyloid-β accumulation in the overlying cortex
Valentina Perosa, Jan Oltmer, Leon P. Munting, et al.
Acta Neuropathologica (2021) Vol. 143, Iss. 3, pp. 331-348
Open Access | Times Cited: 94
Perivascular Unit: This Must Be the Place. The Anatomical Crossroad Between the Immune, Vascular and Nervous System
Fernanda Troili, Virginia Cipollini, M. De Marco, et al.
Frontiers in Neuroanatomy (2020) Vol. 14
Open Access | Times Cited: 80
Genetics of common cerebral small vessel disease
Constance Bordes, Muralidharan Sargurupremraj, Aniket Mishra, et al.
Nature Reviews Neurology (2022) Vol. 18, Iss. 2, pp. 84-101
Closed Access | Times Cited: 62
Widespread white matter oedema in subacute COVID-19 patients with neurological symptoms
Alexander Rau, Nils Schroeter, Ganna Blazhenets, et al.
Brain (2022) Vol. 145, Iss. 9, pp. 3203-3213
Open Access | Times Cited: 48
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 25
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
Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936
Lucia Ballerini, Tom Booth, María Valdés Hernández, et al.
NeuroImage Clinical (2019) Vol. 25, pp. 102120-102120
Open Access | Times Cited: 64
The role of brain perivascular space burden in early-stage Parkinson’s disease
Ting Shen, Yumei Yue, Shuai Zhao, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 55
Enlarged perivascular spaces in multiple sclerosis on magnetic resonance imaging: a systematic review and meta-analysis
Tobias Granberg, Thomas Moridi, Judith S. Brand, et al.
Journal of Neurology (2020) Vol. 267, Iss. 11, pp. 3199-3212
Open Access | Times Cited: 54
Determinants of Perivascular Spaces in the General Population
Tavia E. Evans, Maria J. Knol, Petra Schwingenschuh, et al.
Neurology (2022) Vol. 100, Iss. 2
Open Access | Times Cited: 33
The association of enlarged perivascular space with microglia-related inflammation and Alzheimer's pathology in cognitively normal elderly
Qingze Zeng, Kaicheng Li, Xiao Luo, et al.
Neurobiology of Disease (2022) Vol. 170, pp. 105755-105755
Open Access | Times Cited: 29
Correlation of glymphatic system abnormalities with Parkinson’s disease progression: a clinical study based on non-invasive fMRI
Jing‐Cai Meng, Mingqiang Shen, Yanli Lu, et al.
Journal of Neurology (2023) Vol. 271, Iss. 1, pp. 457-471
Closed Access | Times Cited: 22
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
Characterization of MR Imaging–Visible Perivascular Spaces in the White Matter of Healthy Adolescents at 3T
Juan Piantino, Erin L. Boespflug, Daniel L. Schwartz, et al.
American Journal of Neuroradiology (2020) Vol. 41, Iss. 11, pp. 2139-2145
Open Access | Times Cited: 47
Autoidentification of perivascular spaces in white matter using clinical field strength T1 and FLAIR MR imaging
Daniel L. Schwartz, Erin L. Boespflug, David Lahna, et al.
NeuroImage (2019) Vol. 202, pp. 116126-116126
Open Access | Times Cited: 44
Weakly supervised object detection with 2D and 3D regression neural networks
Florian Dubost, Hieab H.H. Adams, Pınar Yilmaz, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101767-101767
Open Access | Times Cited: 43
Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature
Maximilian Schulz, Caroline Malherbe, Bastian Cheng, et al.
BMC Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 38
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
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