Work

Rapid bibliometric analysis in deep learning domain

Year: 2021

Type: conference-paper

Source: International Conference on Information and Digital Technologies (IDT)

DOI: 10.1109/idt52577.2021.9497591

Authors: Ravil I. Mukhamediev, Ilyas Assanov, Marina Yelis, Adilkhan Symagulov, Yan Kuchin, Kirill Yakunin, Aubakirov Margulan, Laila Tabynbayeva, Peter Sedlacek

Institutions: Satbayev University, Institute of Information and Computational Technologies, Maharishi International University, Kazakh Research Institute of Agriculture and Plant growing, University of Žilina

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: Ministry of Education and Science of the Republic of Kazakhstan, Research and Development

OpenAlex ID: W3189654123

FWCI:

Cites: 35

Cited by:

Related to: 10