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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:

White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models
Seyedmehdi Payabvash, Eva Palacios, Julia P. Owen, et al.
Brain Connectivity (2019) Vol. 9, Iss. 2, pp. 209-220
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

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: 79
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: 123
From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder
Thomas Wolfers, Dorothea L. Floris, Richard Dinga, et al.
Neuroscience & Biobehavioral Reviews (2019) Vol. 104, pp. 240-254
Open Access | Times Cited: 112
Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey
Eman Mohamed Helmy, Ahmed Elnakib, Yaser ElNakieb, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1858-1858
Open Access | Times Cited: 26
[Retracted] Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques
Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Junaid Asghar, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 23
Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives
Lorenzo Di Sarno, Anya Caroselli, Giovanna Tonin, et al.
Biomedicines (2024) Vol. 12, Iss. 6, pp. 1220-1220
Open Access | Times Cited: 10
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: 43
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: 19
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
A face image classification method of autistic children based on the two-phase transfer learning
Ying Li, Wen-Cong Huang, Peihua Song
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 14
Abnormal Structural and Functional Connectivity of the Corpus Callosum in Autism Spectrum Disorders: a Review
Marco Valenti, Maria Chiara Pino, Monica Mazza, et al.
Review Journal of Autism and Developmental Disorders (2019) Vol. 7, Iss. 1, pp. 46-62
Closed Access | Times Cited: 42
Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data
Johanna Inhyang Kim, Sungkyu Bang, Jin‐Ju Yang, et al.
Journal of Autism and Developmental Disorders (2022) Vol. 53, Iss. 1, pp. 25-37
Closed Access | Times Cited: 22
Automatic characterization of cerebral MRI images for the detection of autism spectrum disorders
Nour El Houda Mezrioui, Kamel Aloui, Amine Naït‐Ali, et al.
Intelligence-Based Medicine (2024) Vol. 9, pp. 100127-100127
Open Access | Times Cited: 4
Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights
J. Deepa Anbarasi, Radha Kumari, Malvika Ganesh, et al.
BMC Neurology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder
Daegyeom Kim, Joo Young Lee, Byeong Chang Jeong, et al.
Autism Research (2021) Vol. 14, Iss. 11, pp. 2314-2329
Open Access | Times Cited: 27
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: 10
Advanced autism detection and visualization through XGBoost algorithm for fNIRS hemo-dynamic signals
Sajid Farooq, Hailun He, Deyu Guo, et al.
Expert Systems with Applications (2025), pp. 127013-127013
Closed Access
Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging
Yaser ElNakieb, Mohamed T. Ali, Ahmed Soliman, et al.
IEEE Access (2020) Vol. 8, pp. 191298-191308
Open Access | Times Cited: 25
The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results
Yaser ElNakieb, Mohamed T. Ali, Ahmed Elnakib, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8171-8171
Open Access | Times Cited: 22
Machine learning with neuroimaging data to identify autism spectrum disorder: a systematic review and meta-analysis
Da‐Yea Song, Constantin‐Cristian Topriceanu, Denis C. Ilie-Ablachim, et al.
Neuroradiology (2021) Vol. 63, Iss. 12, pp. 2057-2072
Closed Access | Times Cited: 21
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
Hon Wah Yeung, Aleks Stolicyn, Colin R. Buchanan, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 5, pp. 1913-1933
Open Access | Times Cited: 16
Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives
Lorenzo Di Sarno, Anya Caroselli, Giovanna Tonin, et al.
(2024)
Open Access | Times Cited: 3
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: 3
Diffusion tensor tractography in children with sensory processing disorder: Potentials for devising machine learning classifiers
Seyedmehdi Payabvash, Eva Palacios, Julia P. Owen, et al.
NeuroImage Clinical (2019) Vol. 23, pp. 101831-101831
Open Access | Times Cited: 20
Connectome mapping with edge density imaging differentiates pediatric mild traumatic brain injury from typically developing controls: proof of concept
Cyrus A. Raji, Maxwell Wang, Nhu-Nhu Nguyen, et al.
Pediatric Radiology (2020) Vol. 50, Iss. 11, pp. 1594-1601
Open Access | Times Cited: 17
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