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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 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal
Alice P. Bates, Alessandro Daducci, Parastoo Sadeghi, et al.
IEEE Signal Processing Letters (2020) Vol. 27, pp. 790-794
Open Access | Times Cited: 9

Showing 9 citing articles:

Gradient waveform design for tensor-valued encoding in diffusion MRI
Filip Szczepankiewicz, Carl‐Fredrik Westin, Markus Nilsson
Journal of Neuroscience Methods (2020) Vol. 348, pp. 109007-109007
Open Access | Times Cited: 60
Computing and visualising intra‐voxel orientation‐specific relaxation–diffusion features in the human brain
J. Martins, Chantal M. W. Tax, Alexis Reymbaut, et al.
Human Brain Mapping (2020) Vol. 42, Iss. 2, pp. 310-328
Open Access | Times Cited: 45
Toward nonparametric diffusion‐ characterization of crossing fibers in the human brain
Alexis Reymbaut, Julia Critchley, Giuliana Durighel, et al.
Magnetic Resonance in Medicine (2020) Vol. 85, Iss. 5, pp. 2815-2827
Open Access | Times Cited: 32
Bridging the gap between constrained spherical deconvolution and diffusional variance decomposition via tensor‐valued diffusion MRI
Philippe Karan, Alexis Reymbaut, Guillaume Gilbert, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102476-102476
Open Access | Times Cited: 4
Neural Networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure
J. Martins, Markus Nilsson, Björn Lampinen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Gradient waveform design for tensor-valued encoding in diffusion MRI.
Filip Szczepankiewicz, Carl‐Fredrik Westin, Markus Nilsson
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Visualizing orientation-specific relaxation-diffusion features mapped onto orientation distribution functions estimated via nonparametric Monte Carlo MRI signal inversion
J. Martins, Chantal M. W. Tax, Alexis Reymbaut, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 3
Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging
Francesco Grussu, Stefano B. Blumberg, Marco Battiston, et al.
Frontiers in Physics (2021) Vol. 9
Open Access | Times Cited: 3
A review on investigation of the basic contrast mechanism underlying multidimensional diffusion MRI in assessment of neurological disorders
Nisha Syed Nasser, Sriram Rajan, Vasantha Kumar Venugopal, et al.
Journal of Clinical Neuroscience (2022) Vol. 102, pp. 26-35
Closed Access | Times Cited: 2
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