DaeHun Nyang

About

DaeHun Nyang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, DaeHun Nyang has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 32 papers in Information Systems and 31 papers in Computer Networks and Communications. Recurrent topics in DaeHun Nyang’s work include Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (17 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). DaeHun Nyang is often cited by papers focused on Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (17 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). DaeHun Nyang collaborates with scholars based in South Korea, United States and Saudi Arabia. DaeHun Nyang's co-authors include Aziz Mohaisen, Mohammed Abuhamad, Muhammad Saad, Tamer Abuhmed, Ahmed Abusnaina, Charles Kamhoua, Laurent Njilla, Joongheon Kim, Jeffrey Spaulding and Jinchun Choi and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of DaeHun Nyang i

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Fields of papers citing papers by DaeHun Nyang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DaeHun Nyang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by DaeHun Nyang. The network helps show where DaeHun Nyang may publish in the future.

Countries citing papers authored by DaeHun Nyang

Since Specialization

Citations

This map shows the geographic impact of DaeHun Nyang's research. 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 DaeHun Nyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DaeHun Nyang more than expected).

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.

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