A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

252 indexed citations
published 2020

Countries where authors are citing A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

Specialization
Citations

This map shows the geographic impact of A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU. 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 A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU more than expected).

Fields of papers citing A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU.

About A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

This paper, published in 2020, received 252 indexed citations . Written by Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Rajesh Kaluri, Saurabh Singh, Thippa Reddy Gadekallu, Mamoun Alazab and Usman Tariq covering the research area of Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (144 citations), Artificial Intelligence (137 citations) and Signal Processing (67 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/electronics9020219.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026