Noseong Park

61 papers and 613 indexed citations i.

About

Noseong Park is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Noseong Park has authored 61 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 16 papers in Signal Processing and 14 papers in Computer Networks and Communications. Recurrent topics in Noseong Park’s work include Network Security and Intrusion Detection (8 papers), Time Series Analysis and Forecasting (8 papers) and Advanced Graph Neural Networks (7 papers). Noseong Park is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Time Series Analysis and Forecasting (8 papers) and Advanced Graph Neural Networks (7 papers). Noseong Park collaborates with scholars based in South Korea, United States and Italy. Noseong Park's co-authors include Jeongwhan Choi, JeeHyun Hwang, Sushil Jajodia, V. S. Subrahmanian, Tanmoy Chakraborty, Youngmin Kim, Kookjin Lee, Edoardo Serra, Hong‐Kyu Park and Dong‐Eun Lee and has published in prestigious journals such as Knowledge-Based Systems, IEEE Transactions on Information Forensics and Security and Lasers in Surgery and Medicine.

In The Last Decade

Co-authorship network of co-authors of Noseong Park i

Fields of papers citing papers by Noseong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noseong Park. 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 Noseong Park. The network helps show where Noseong Park may publish in the future.

Countries citing papers authored by Noseong Park

Since Specialization
Citations

This map shows the geographic impact of Noseong Park'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 Noseong Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noseong Park 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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2025