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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:

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky
Frontiers in Neuroinformatics (2017) Vol. 11
Open Access | Times Cited: 130

Showing 26-50 of 130 citing articles:

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
Lan Lin, Min Xiong, Ge Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1914-1914
Open Access | Times Cited: 15
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Ali Yousefian, Farzaneh Shayegh, Zeinab Maleki
Frontiers in Systems Neuroscience (2023) Vol. 16
Open Access | Times Cited: 14
Using Deep Learning and Resting-State fMRI to Classify Chronic Pain Conditions
Alex Santana, Ignacio Cifré, Charles Novaes de Santana, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 41
Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders
Annika C. Linke, Lisa E. Mash, Chris Fong, et al.
NeuroImage (2020) Vol. 223, pp. 117383-117383
Open Access | Times Cited: 36
Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns
Junzhong Ji, Xinying Xing, Yao Yao, et al.
Pattern Recognition (2020) Vol. 109, pp. 107570-107570
Closed Access | Times Cited: 35
A Convolutional Neural Network Combined With Prototype Learning Framework for Brain Functional Network Classification of Autism Spectrum Disorder
Yin Liang, Baolin Liu, Hesheng Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2193-2202
Open Access | Times Cited: 32
ConCeptCNN: A novel multi‐filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome
Ming Chen, Hailong Li, Howard Fan, et al.
Medical Physics (2022) Vol. 49, Iss. 5, pp. 3171-3184
Open Access | Times Cited: 21
Convolutional Recurrent Neural Network for Dynamic Functional MRI Analysis and Brain Disease Identification
Kai Lin, Biao Jie, Peng Dong, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 21
A Comparative Study of Correlation Methods in Functional Connectivity Analysis Using fMRI Data of Alzheimer’s Patients
Hessam Ahmadi, Emad Fatemizadeh, Ali Motie Nasrabadi
Journal of Biomedical Physics and Engineering (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 12
Riemannian Regression and Classification Models of Brain Networks Applied to Autism
Eleanor Wong, Jeffrey S. Anderson, Brandon A. Zielinski, et al.
Lecture notes in computer science (2018), pp. 78-87
Open Access | Times Cited: 36
Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks
Xinying Xing, Junzhong Ji, Yao Yao
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018), pp. 780-783
Closed Access | Times Cited: 34
Regression‐based machine‐learning approaches to predict task activation using resting‐state fMRI
Alexander D. Cohen, Ziyi Chen, Ōiwi Parker Jones, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 3, pp. 815-826
Open Access | Times Cited: 30
Assisted Diagnosis of Alzheimer’s Disease Based on Deep Learning and Multimodal Feature Fusion
Yu Wang, Xi Liu, Chongchong Yu
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 23
Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches
Jason Smucny, Ge Shi, Ian Davidson
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 17
Dual-level Deep Evidential Fusion: Integrating multimodal information for enhanced reliable decision-making in deep learning
Zhimin Shao, Weibei Dou, Yu Pan
Information Fusion (2023) Vol. 103, pp. 102113-102113
Open Access | Times Cited: 10
Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data
Peishan Dai, Da Lu, Yun Q. Shi, et al.
Journal of Affective Disorders (2023) Vol. 339, pp. 511-519
Closed Access | Times Cited: 9
Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI
Matthew Leming, Simon Baron‐Cohen, John Suckling
Molecular Autism (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Differential Path-Length Factor's Effect on the Characterization of Brain's Hemodynamic Response Function: A Functional Near-Infrared Study
Muhammad Ahmad Kamran, Malik Muhammad Naeem Mannan, Myung Yung Jeong
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 26
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification
Yang Li, Jingyu Liu, Jie Huang, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 24
Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks
Pál Vakli, Regina Meszlényi, Petra Hermann, et al.
GigaScience (2018) Vol. 7, Iss. 12
Open Access | Times Cited: 24
Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network
Pál Vakli, Regina Meszlényi, Tibor Auer, et al.
Frontiers in Neuroinformatics (2020) Vol. 14
Open Access | Times Cited: 21
Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study
Kunqiang Qing, Ruisen Huang, Keum‐Shik Hong
Frontiers in Human Neuroscience (2021) Vol. 14
Open Access | Times Cited: 19
Brain Functional Connectivity Analysis via Graphical Deep Learning
Gang Qu, Wenxing Hu, Li Xiao, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 5, pp. 1696-1706
Open Access | Times Cited: 19
Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder
Xiaodi Zhang, Eric Maltbie, Shella Keilholz
NeuroImage (2021) Vol. 244, pp. 118588-118588
Open Access | Times Cited: 18
A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data
Çağlar Uyulan, Türker Tekin Ergüzel, Ömer Türk, et al.
Clinical EEG and Neuroscience (2022) Vol. 54, Iss. 2, pp. 151-159
Closed Access | Times Cited: 13

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