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:

Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
Seong Dae Yun, Patricia Pais‐Roldán, Nicola Palomero‐Gallagher, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 11, pp. 3386-3403
Open Access | Times Cited: 17

Showing 17 citing articles:

Germany’s journey toward 14 Tesla human magnetic resonance
Mark E. Ladd, Harald H. Quick, Oliver Speck, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2023) Vol. 36, Iss. 2, pp. 191-210
Open Access | Times Cited: 12

Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis
Eric Jacob Bacon, Chaoyang Jin, Dianning He, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 10

Cortical depth-dependent human fMRI of resting-state networks using EPIK
Patricia Pais‐Roldán, Seong Dae Yun, Nicola Palomero‐Gallagher, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 10

Unlocking near-whole-brain, layer-specific functional connectivity with 3D VAPER fMRI
Yuhui Chai, Andrew Morgan, Hua Xie, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-20
Open Access | Times Cited: 3

Accelerated multi-b-value multi-shot diffusion-weighted imaging based on EPI with keyhole and a low-rank tensor constraint
Xin Tang, Juan Gao, Ahmed Aburas, et al.
Magnetic Resonance Imaging (2024) Vol. 110, pp. 138-148
Closed Access | Times Cited: 2

Computing geometric layers and columns on continuously improving human (f)MRI data
Ömer Faruk Gülban, Laurentius Huber
Elsevier eBooks (2024), pp. 438-461
Closed Access | Times Cited: 2

Editorial: Novel fMRI techniques and analysis methods for enhanced detection of functional disorders
Seong Dae Yun, Sung Suk Oh, Min Cheol Chang
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2

Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset
Kenshu Koiso, Anna K Müller, Kazuaki Akamatsu, et al.
Aperture Neuro (2023) Vol. 3
Open Access | Times Cited: 5

Leveraging ultra-high field (7T) MRI in psychiatric research
Finnegan J. Calabro, Ashley C. Parr, Valerie J. Sydnor, et al.
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 85-102
Closed Access | Times Cited: 1

Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset
Kenshu Koiso, Anna K Müller, Kazuaki Akamatsu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7

Submillimeter fMRI Acquisition Techniques for Detection of Laminar and Columnar Level Brain Activation
Seong Dae Yun, Fabian Küppers, N. Jon Shah
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 3, pp. 747-766
Open Access | Times Cited: 3

Cortical depth-dependent human fMRI of resting-state networks using EPIK
Patricia Pais‐Roldán, Seong Dae Yun, Nicola Palomero‐Gallagher, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 6

Sequence prediction with different dimensions based on two novel deep echo state network models
Jingyu Sun, Lixiang Li, Haipeng Peng, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 11, pp. 2062-2076
Closed Access | Times Cited: 2

predict bipolar disorder by using graph theory, cortical volume, and machine learning
Miysam Ruhi, Peyman Hassani‐Abharian
Research Square (Research Square) (2024)
Open Access

Contribution of cortical layers to human dynamic functional connectivity
Patricia Pais‐Roldán, Seong Dae Yun, Shukti Ramkiran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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