Sangho Yeo

About

Sangho Yeo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sangho Yeo has authored 8 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sangho Yeo’s work include Reinforcement Learning in Robotics (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Distributed Multi-Agent Coordination and Control (2 papers). Sangho Yeo is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Distributed Multi-Agent Coordination and Control (2 papers). Sangho Yeo collaborates with scholars based in South Korea and United States. Sangho Yeo's co-authors include Phillip B. Messersmith, Cheol‐Hee Ahn, Hyun Jung Chung, Tae Gwan Park, Haeshin Lee, Yuhan Lee, Sangyoon Oh and Boreum Choi and has published in prestigious journals such as Sensors, Soft Matter and Journal of Parallel and Distributed Computing.

In The Last Decade

Co-authorship network of co-authors of Sangho Yeo i

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Fields of papers citing papers by Sangho Yeo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sangho Yeo

Since Specialization

Citations

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