EEG-based autism spectrum disorder detection: A bibliometric analysis

Ilker Turker; Ehssan Aljanabi

EEG-based autism spectrum disorder detection: A bibliometric analysis

Ilker Turker, Ehssan Aljanabi

Abstract

Autism 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 journals.

Keywords

Autism Spectrum Disorder, EEG, Autism detection, Deep learning, Bibliometric analysis

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References

Nagel, S. and M. Spüler, 2019. “World’s fastest brain-computer interface: Combining EEG2Code with deep learning”. PloS one, 14(9): p. e0221909.

Tranfield, D., Denyer, D., Smart, P., 2003. “Towards a methodology for developing evidence-informed management knowledge by means of systematic review”. Br. J. Manage. 14 (3), 207–222.

Falagas, M.E., Pitsouni, E.I., Malietzis, G.A., Pappas, G., 2008. “Comparison of PubMed, scopus, web of science, and google scholar: strengths and weaknesses”. FASEB J. 22 (2), 338–342.

Zhang, K., Liang, Q.M., 2020. “Recent progress of cooperation on climate mitigation: A bibliometric analysis”. J. Cleaner Prod. 277, 123495.

Rapin, Isabelle, 1996. “Practitioner review: Developmental language disorders: A clinical update”. Published by Elsevier Science Ltd, Vol. 37 (6), pp. 643-655.

Seri, S., Cerquiglini, A., Curatolo, P., 1999. “Autism in tuberous sclerosis: evoked potential evidence for a deficit in auditory sensory processing”. Clinical Neurophysiology, Vol. 110 (10), Pp 1825-1830.

Ji, B., Zhao, Y., Vymazal, J., Mander, U., Lust, R., Tang, C., 2021. “Mapping the field of constructed wetland-microbial fuel cell: A review and bibliometric analysis”. Chemosphere 262, 128366.

Ling, J., Li, X.M., Lin, M.W., 2021. “Medical waste treatment station selection based on linguistic q-rung orthopair fuzzy numbers”. Cmes-Comput. Model. Eng. Sci. 129 (1), 117–148.

Yu, D., Xu, Z., Kao, Y., Lin, C.T., 2017a. “The structure and citation landscape of IEEE transactions on fuzzy systems (1994–2015)”. IEEE Trans. Fuzzy Syst. 26 (2), 430–442.

Yu, D., Xu, Z., Pedrycz, W., Wang, W., 2017b. “Information sciences 1968-2016: A retrospective analysis with text mining and bibliometric”. Inform. Sci. 418, 619–634.

Mourao, P.R., Martinho, V.D., 2021. “Choosing the best socioeconomic nutrients for the best trees: a discussion about the distribution of portuguese trees of public interest”. Environ. Dev. Sustain. 23 (4), 5985–6001.

Cobo, M.J., Martinez, M.A., Gutierrez-Salcedo, M., Fujita, H., Herrera-Viedma, E., 2015. “25 Years at knowledge-based systems: a bibliometric analysis”. Knowl.-Based Syst. 80, 3–13.

Mingers, J., Leydesdorff, L., 2015. “A review of theory and practice in scientometrics”. European J. Oper. Res. 246 (1), 1–19.

Van Eck, N., Waltman, L., 2010. “Software survey: VOSviewer, A computer program for bibliometric mapping”. Scientometrics 84 (2), 523–538.

Chen, C., 2006. “CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature”. J. Am. Soc. Inf. Sci. Technol. 57 (3), 359–377.

Aria, M., Cuccurullo, C., 2017. “Bibliometrix: An R-tool for comprehensive science mapping analysis”. J. Informetr. 11 (4), 959–975.

Lin, M., Chen, Y., Chen, R., 2021. “Bibliometric analysis on pythagorean fuzzy sets during 2013–2020”. Int. J. Intell. Comput. Cybern. 14 (2), 104–121.

Stopar, K., Bartol, T., 2019. “Digital competences, computer skills and information literacy in secondary education: mapping and visualization of trends and concepts”. Scientometrics 118 (2), 479–498.

Chen, Y., Lin, M., Zhuang, D., 2022. “Wastewater treatment and emerging contaminants: Bibliometric analysis”. Chemosphere 297, 133932.

Yu, D., Xu, C., 2017. “Mapping research on carbon emissions trading: a co-citation analysis”. Renew. Sustain. Energy Rev. 74, 1314–1322.