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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:

Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 101-121
Open Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction
Hao Jiang, Peng Cao, XU Ming-yi, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 104096-104096
Closed Access | Times Cited: 151
Neuroimaging in Functional Neurological Disorder: State of the Field and Research Agenda
David L. Perez, Timothy R. Nicholson, Ali A. Asadi‐Pooya, et al.
NeuroImage Clinical (2021) Vol. 30, pp. 102623-102623
Open Access | Times Cited: 126
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis
Guangqi Wen, Peng Cao, Huiwen Bao, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105239-105239
Closed Access | Times Cited: 108
Artificial intelligence for brain diseases: A systematic review
Alice Segato, Aldo Marzullo, Francesco Calimeri, et al.
APL Bioengineering (2020) Vol. 4, Iss. 4
Open Access | Times Cited: 120
Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning
Wutao Yin, Sakib Mostafa, Fang‐Xiang Wu
Journal of Computational Biology (2020) Vol. 28, Iss. 2, pp. 146-165
Closed Access | Times Cited: 95
A naturalistic neuroimaging database for understanding the brain using ecological stimuli
Sarah Aliko, Jiawen Huang, Florin Gheorghiu, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 90
Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86
One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry
Elvisha Dhamala, B.T. Thomas Yeo, Avram J. Holmes
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 717-728
Closed Access | Times Cited: 60
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 6, pp. 1501-1523
Open Access | Times Cited: 57
Functional magnetic resonance imaging in migraine: A systematic review
Severin Schramm, Corinna Börner, Miriam Reichert, et al.
Cephalalgia (2023) Vol. 43, Iss. 2
Open Access | Times Cited: 36
Oscillotherapeutics – Time-targeted interventions in epilepsy and beyond
Yuichi Takeuchi, Antal Berényi
Neuroscience Research (2020) Vol. 152, pp. 87-107
Open Access | Times Cited: 55
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis
Lanting Li, Hao Jiang, Guangqi Wen, et al.
Neuroinformatics (2021) Vol. 20, Iss. 2, pp. 353-375
Closed Access | Times Cited: 46
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 43
Representation learning of resting state fMRI with variational autoencoder
Jung‐Hoon Kim, Yizhen Zhang, Kuan Han, et al.
NeuroImage (2021) Vol. 241, pp. 118423-118423
Open Access | Times Cited: 41
Multi-Level Functional Connectivity Fusion Classification Framework for Brain Disease Diagnosis
Yin Liang, Gaoxu Xu
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2714-2725
Closed Access | Times Cited: 28
Graph Self-Supervised Learning With Application to Brain Networks Analysis
Guangqi Wen, Peng Cao, Lingwen Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4154-4165
Closed Access | Times Cited: 16
A semi-supervised autoencoder for autism disease diagnosis
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2022) Vol. 483, pp. 140-147
Closed Access | Times Cited: 24
Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity
Shih-Gu Huang, Jing Xia, Liyuan Xu, et al.
Medical Image Analysis (2022) Vol. 77, pp. 102370-102370
Open Access | Times Cited: 22
Multi-Scale Dynamic Graph Learning for Brain Disorder Detection With Functional MRI
Yunling Ma, Qianqian Wang, Liang Cao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3501-3512
Open Access | Times Cited: 15
Functional MRI in Neuro-Oncology: State of the Art and Future Directions
Luca Pasquini, Kyung K. Peck, Mehrnaz Jenabi, et al.
Radiology (2023) Vol. 308, Iss. 3
Open Access | Times Cited: 14
Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization
Liang Han, Micaela Y. Chan, Phillip F. Agres, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 5
Exploring potential neuroimaging biomarkers for the response to non-steroidal anti-inflammatory drugs in episodic migraine
Heng‐Le Wei, Yu‐Sheng Yu, Mengyao Wang, et al.
The Journal of Headache and Pain (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
A survey of brain functional network extraction methods using fMRI data
Yuhui Du, Songke Fang, Xingyu He, et al.
Trends in Neurosciences (2024) Vol. 47, Iss. 8, pp. 608-621
Closed Access | Times Cited: 4
Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data
Runda Li
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
MRI-based Differentiation of Parkinson's Disease by Cerebellar Gray Matter Volume
Dacong Zhao, Jiang Guo, Guanghua Lu, et al.
SLAS TECHNOLOGY (2025) Vol. 31, pp. 100260-100260
Open Access
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