CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

273 indexed citations
published 2020

Countries where authors are citing CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

Specialization
Citations

This map shows the geographic impact of CNN-Based Network Intrusion Detection against Denial-of-Service Attacks. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by CNN-Based Network Intrusion Detection against Denial-of-Service Attacks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CNN-Based Network Intrusion Detection against Denial-of-Service Attacks more than expected).

Fields of papers citing CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of CNN-Based Network Intrusion Detection against Denial-of-Service Attacks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CNN-Based Network Intrusion Detection against Denial-of-Service Attacks.

About CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

This paper, published in 2020, received 273 indexed citations . Written by Jiyeon Kim, Jiwon Kim and Eunjung Choi covering the research area of Signal Processing, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (261 citations), Artificial Intelligence (214 citations) and Signal Processing (173 citations). Published in Electronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.3390/electronics9060916.

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