Seungeun Oh

5 papers and 53 indexed citations i.

Seungeun Oh has authored 5 papers that have received a total of 53 indexed citations. This includes 4 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 1 paper in Electrical and Electronic Engineering. The topics of these papers are 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) and collaborates with scholars based in Australia, Finland and South Korea. Seungeun Oh's co-authors include Mehdi Bennis, Seong‐Lyun Kim, Jihong Park, Eunjeong Jeong and Hyesung Kim and has published in prestigious journals such as IEEE Communications Letters, IEEE Intelligent Systems and IEEE Transactions on Big Data