Youngeun Kim

About

Youngeun Kim is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Youngeun Kim has authored 12 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Youngeun Kim’s work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Youngeun Kim is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Youngeun Kim collaborates with scholars based in United States, South Korea and United Arab Emirates. Youngeun Kim's co-authors include Priyadarshini Panda, Sungeun Hong, Donghyeon Cho, Sang Joon Kim, Yuhang Li, Dong‐Hyun Lee and Hyunsoo Kim and has published in prestigious journals such as Neural Networks, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Youngeun Kim i

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Fields of papers citing papers by Youngeun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngeun Kim

Since Specialization

Citations

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