Artículo

Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges

Resumen

The growing interest in applying neural networks for cybersecurity has prompted a substantial increase in related research. This paper presents a comprehensive bibliometric analysis of research on cybersecurity towards neural networks published in the Web of Science over the past two decades (2003–2023) using bibliometric methods and CiteSpace software. The analysis encompasses yearly publication trends, types of publications, and trends across various dimensions such as publishing sources, organizations, researchers, countries, and keywords. Additionally, timeline and burst detection analyses were conducted to identify significant topic trends and citations in the last two decades. It also outlines the latest trends, under-explored topics, and open challenges.
Li, Huike (58483126400); Li, Bo (55555125500)
The state of metaverse research: a bibliometric visual analysis based on CiteSpace
2024
10.1186/s40537-024-00877-x
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181874649&doi=10.1186%2fs40537-024-00877-x&partnerID=40&md5=5385c9710572959722f9a4055717fd27
College of Home and Art Design, Northeast Forestry University, 26, Hexing Street, Nangang District, Harbin, 150040, China
All Open Access; Gold Open Access; Green Open Access
Scopus
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