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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:

The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum Disorder
Amirali Kazeminejad, Roberto C. Sotero
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
Zeinab Sherkatghanad, Mohammadsadegh Akhondzadeh, Soorena Salari, et al.
Frontiers in Neuroscience (2020) Vol. 13
Open Access | Times Cited: 222
rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Caio Pinheiro Santana, Emerson Carvalho, Igor Duarte Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 79
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 75
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
Meijie Liu, Baojuan Li, Dewen Hu
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 57
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
Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 42
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
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
A review of methods for classification and recognition of ASD using fMRI data
Weibin Feng, Guangyuan Liu, Kelong Zeng, et al.
Journal of Neuroscience Methods (2021) Vol. 368, pp. 109456-109456
Closed Access | Times Cited: 25
Multi-atlas Graph Convolutional Networks and Convolutional Recurrent Neural Networks-Based Ensemble Learning for Classification of Autism Spectrum Disorders
Manjunath Ramanna Lamani, P. Julian Benadit, Krishnakumar Vaithinathan
SN Computer Science (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 10
Automated diagnosis of autism with artificial intelligence: State of the art
Amir Valizadeh, Mana Moassefi, Amin Nakhostin-Ansari, et al.
Reviews in the Neurosciences (2023) Vol. 35, Iss. 2, pp. 141-163
Closed Access | Times Cited: 9
Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
Asrar G. Alharthi, Salha M. Alzahrani
Computers in Biology and Medicine (2023) Vol. 167, pp. 107667-107667
Closed Access | Times Cited: 9
An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103108-103108
Closed Access | Times Cited: 19
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis
Wenju Yang, Guangqi Wen, Peng Cao, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106772-106772
Closed Access | Times Cited: 13
Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks
Roberto C. Sotero, José M. Sánchez‐Bornot, Iman Shaharabi-Farahani
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
ASD-SWNet: a novel shared-weight feature extraction and classification network for autism spectrum disorder diagnosis
Jian Zhang, Jifeng Guo, Donglei Lu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
The diagnosis of ASD with MRI: a systematic review and meta-analysis
Sjir J. C. Schielen, Jesper Pilmeyer, Albert P. Aldenkamp, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Reproducibility of graph measures at the subject level using resting‐state fMRI
Qian Ran, Tarik Jamoulle, Jolien Schaeverbeke, et al.
Brain and Behavior (2020) Vol. 10, Iss. 8, pp. 2336-2351
Open Access | Times Cited: 20
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection
Roberto C. Sotero, José M. Sánchez‐Bornot, Yasser Iturria‐Medina
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Altered brain network organization in adults with Asperger's syndrome: decreased connectome transitivity and assortativity with increased global efficiency
Nooshin Javaheripour, Gerd Wagner, Feliberto de la Cruz, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 5
ASDC-Net: Optimized Convolutional Neural Network-Based Automatic Autism Spectrum Disorder Classification Using rs-fMRI Data
Anjali Chandra, Shrish Verma, Ajay Singh Raghuvanshi, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 4, pp. 4189-4202
Closed Access | Times Cited: 4
Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder
Roberto C. Sotero, José M. Sánchez‐Bornot, Iman Shaharabi-Farahani, et al.
(2023), pp. 19-24
Closed Access | Times Cited: 4
Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism
Shinwon Park, Phoebe Thomson, Gregory Kiar, et al.
Advances in neurobiology (2024), pp. 511-544
Closed Access | Times Cited: 1
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