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Image . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Image . 2026
License: CC BY
Data sources: Datacite
ZENODO
Image . 2026
License: CC BY
Data sources: Datacite
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Clinical Assessment Methods for Early Autism Spectrum Disorder in Paediatrics Using Explainable Artificial Intelligence and Quantum Machine Learning - Figure 3

appsOther research productkeyboard_double_arrow_right Image 30 Jun 2026Publisher:Zenodo
Authors: Priya Shanthini D.r; Vasu Koduri; Naveen Maddukuri; M Kalpana Chowdary; Bini Darwin; Shajin Prince;

doi: 10.5281/zenodo.21068795 , 10.5281/zenodo.21068794

Clinical Assessment Methods for Early Autism Spectrum Disorder in Paediatrics Using Explainable Artificial Intelligence and Quantum Machine Learning - Figure 3

Abstract

Figure 3 illustrates the yearly distribution of dataset modalities, including EEG, MRI, multimodal, and facial datasets, across the reviewed studies. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average