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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:

Q-space trajectory imaging for multidimensional diffusion MRI of the human brain
Carl‐Fredrik Westin, Hans Knutsson, Ofer Pasternak, et al.
NeuroImage (2016) Vol. 135, pp. 345-362
Open Access | Times Cited: 306

Showing 1-25 of 306 citing articles:

Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation
Dmitry S. Novikov, Els Fieremans, Sune Nørhøj Jespersen, et al.
NMR in Biomedicine (2018) Vol. 32, Iss. 4
Open Access | Times Cited: 498
Imaging brain microstructure with diffusion MRI: practicality and applications
Daniel C. Alexander, Tim B. Dyrby, Markus Nilsson, et al.
NMR in Biomedicine (2017) Vol. 32, Iss. 4
Open Access | Times Cited: 395
Studying neuroanatomy using MRI
Jason P. Lerch, André van der Kouwe, Armin Raznahan, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 3, pp. 314-326
Open Access | Times Cited: 281
Building connectomes using diffusion MRI: why, how and but
Stamatios N. Sotiropoulos, Andrew Zalesky
NMR in Biomedicine (2017) Vol. 32, Iss. 4
Open Access | Times Cited: 277
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI
Marco Palombo, Andrada Ianuş, Michele Guerreri, et al.
NeuroImage (2020) Vol. 215, pp. 116835-116835
Open Access | Times Cited: 243
Multidimensional diffusion MRI
Daniel Topgaard
Journal of Magnetic Resonance (2016) Vol. 275, pp. 98-113
Open Access | Times Cited: 215
Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: A model comparison using spherical tensor encoding
Björn Lampinen, Filip Szczepankiewicz, Johan Mårtensson, et al.
NeuroImage (2016) Vol. 147, pp. 517-531
Open Access | Times Cited: 203
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
Fan Zhang, Alessandro Daducci, Yong He, et al.
NeuroImage (2022) Vol. 249, pp. 118870-118870
Open Access | Times Cited: 196
Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI
Derek K. Jones, Daniel C. Alexander, Richard Bowtell, et al.
NeuroImage (2018) Vol. 182, pp. 8-38
Open Access | Times Cited: 180
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
Susie Y. Huang, Thomas Witzel, Boris Keil, et al.
NeuroImage (2021) Vol. 243, pp. 118530-118530
Open Access | Times Cited: 121
Diffusion time dependence, power-law scaling, and exchange in gray matter
Jonas L. Olesen, Leif Østergaard, Noam Shemesh, et al.
NeuroImage (2022) Vol. 251, pp. 118976-118976
Open Access | Times Cited: 87
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)
Filip Szczepankiewicz, Danielle van Westen, Elisabet Englund, et al.
NeuroImage (2016) Vol. 142, pp. 522-532
Open Access | Times Cited: 158
Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion
Markus Nilsson, Samo Lasič, Ivana Drobnjak, et al.
NMR in Biomedicine (2017) Vol. 30, Iss. 7
Open Access | Times Cited: 133
Challenges in diffusion MRI tractography – Lessons learned from international benchmark competitions
Kurt G. Schilling, Alessandro Daducci, Klaus Maier‐Hein, et al.
Magnetic Resonance Imaging (2018) Vol. 57, pp. 194-209
Open Access | Times Cited: 133
Challenges for biophysical modeling of microstructure
Ileana Jelescu, Marco Palombo, Francesca Bagnato, et al.
Journal of Neuroscience Methods (2020) Vol. 344, pp. 108861-108861
Open Access | Times Cited: 123
Searching for the neurite density with diffusion MRI: Challenges for biophysical modeling
Björn Lampinen, Filip Szczepankiewicz, Mikael Novén, et al.
Human Brain Mapping (2019) Vol. 40, Iss. 8, pp. 2529-2545
Open Access | Times Cited: 122
Maxwell‐compensated design of asymmetric gradient waveforms for tensor‐valued diffusion encoding
Filip Szczepankiewicz, Carl‐Fredrik Westin, Markus Nilsson
Magnetic Resonance in Medicine (2019) Vol. 82, Iss. 4, pp. 1424-1437
Open Access | Times Cited: 106
Advances in microstructural diffusion neuroimaging for psychiatric disorders
Ofer Pasternak, Sinéad Kelly, Valerie J. Sydnor, et al.
NeuroImage (2018) Vol. 182, pp. 259-282
Open Access | Times Cited: 102
Intra-axonal diffusivity in brain white matter
Bibek Dhital, Marco Reisert, Elias Kellner, et al.
NeuroImage (2019) Vol. 189, pp. 543-550
Open Access | Times Cited: 99
DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning
Qiyuan Tian, Berkin Bilgiç, Qiuyun Fan, et al.
NeuroImage (2020) Vol. 219, pp. 117017-117017
Open Access | Times Cited: 95
Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems
Filip Szczepankiewicz, Jens Sjölund, Freddy Ståhlberg, et al.
PLoS ONE (2019) Vol. 14, Iss. 3, pp. e0214238-e0214238
Open Access | Times Cited: 88
Diffusion MRI in the brain – Theory and concepts
Jacques‐Donald Tournier
Progress in Nuclear Magnetic Resonance Spectroscopy (2019) Vol. 112-113, pp. 1-16
Closed Access | Times Cited: 85
The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain
Chantal M. W. Tax, Filip Szczepankiewicz, Markus Nilsson, et al.
NeuroImage (2020) Vol. 210, pp. 116534-116534
Open Access | Times Cited: 83
Towards unconstrained compartment modeling in white matter using diffusion‐relaxation MRI with tensor‐valued diffusion encoding
Björn Lampinen, Filip Szczepankiewicz, Johan Mårtensson, et al.
Magnetic Resonance in Medicine (2020) Vol. 84, Iss. 3, pp. 1605-1623
Open Access | Times Cited: 83
The sensitivity of diffusion MRI to microstructural properties and experimental factors
Maryam Afzali, Tomasz Pieciak, Sharlene D. Newman, et al.
Journal of Neuroscience Methods (2020) Vol. 347, pp. 108951-108951
Open Access | Times Cited: 80
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