EEG-Based Autism Spectrum Disorder Detection: A Bibliometric Analysis

dc.authorid0000-0002-1803-9822en_US
dc.authorid0000-0001-7577-4658en_US
dc.contributor.authorAljanabi, Ehssan
dc.contributor.authorTürker, İlker
dc.date.accessioned2023-12-22T09:10:25Z
dc.date.available2023-12-22T09:10:25Z
dc.date.issued2022 Ağustosen_US
dc.departmentBaşka Kurumen_US
dc.description.abstractAutism Spectrum Disorder (ASD) is a common disease in society. Many parents suffer from ignorance of these disorders. Despite the wide prevalence and severity of these disorders, we know little about the neurological basis of the interventions for the purpose of identifying these disorders. One of the popular methods to detect ASD is the Electroencephalography (EEG) signal analysis, thanks to its non-invasive, inexpensive, and accessible nature compared to other neuroimaging technologies. This study contains an overview of detecting ASD with EEG with a bibliometric view driven by the publication statistics provided from the Web of Science database. The analysis includes statistical inferences on the number of publications and received citations in yearly resolution, distribution of document types, research areas, countries, together with the most influential publications, institutions, authors, and journalen_US
dc.identifier.citationAljanabi, E., Türker, İ., (2023). EEG-Based Autism Spectrum Disorder Detection: A Bibliometric Analysis. Selcuk University Journal of Engineering Sciences, 22(2), 55-61.en_US
dc.identifier.endpage61en_US
dc.identifier.issue2en_US
dc.identifier.startpage55en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/51520
dc.identifier.volume22en_US
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAutism detectionen_US
dc.subjectAutism Spectrum Disorderen_US
dc.subjectAutism Spectrum Disorderen_US
dc.subjectDeep learningen_US
dc.subjectEEGen_US
dc.titleEEG-Based Autism Spectrum Disorder Detection: A Bibliometric Analysisen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 2 / 2
Yükleniyor...
Küçük Resim
İsim:
ISSUE 02.pdf
Boyut:
435.31 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
Yükleniyor...
Küçük Resim
İsim:
ISSUE 02.pdf
Boyut:
435.31 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: