Younghyun Ju

About

Younghyun Ju is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, Younghyun Ju has authored 12 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 4 papers in Computer Science Applications. Recurrent topics in Younghyun Ju’s work include IoT and Edge/Fog Computing (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Younghyun Ju is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Younghyun Ju collaborates with scholars based in South Korea, Singapore and United States. Younghyun Ju's co-authors include Youngki Lee, Junehwa Song, Chulhong Min, Inseok Hwang, Seungwoo Kang, Chungkuk Yoo, Uichin Lee, Miri Moon, Jaeung Lee and Taiwoo Park and has published in prestigious journals such as ACS Nano, Communications of the ACM and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Younghyun Ju i

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Fields of papers citing papers by Younghyun Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Younghyun Ju

Since Specialization

Citations

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