Seungeun Oh

5 papers and 62 indexed citations i.

About

Seungeun Oh is a scholar working on Artificial Intelligence, Computer Science Applications and Electrical and Electronic Engineering. According to data from OpenAlex, Seungeun Oh has authored 5 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Seungeun Oh’s work include Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Seungeun Oh is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Seungeun Oh collaborates with scholars based in Finland, Australia and South Korea. Seungeun Oh's co-authors include Mehdi Bennis, Seong‐Lyun Kim, Jihong Park, Hyesung Kim, Eunjeong Jeong, Praneeth Vepakomma, Ramesh Raskar and Young Hoon Joo and has published in prestigious journals such as IEEE Communications Letters, IEEE Intelligent Systems and IEEE Transactions on Big Data.

In The Last Decade

Co-authorship network of co-authors of Seungeun Oh i

Fields of papers citing papers by Seungeun Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seungeun Oh

Since Specialization
Citations

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