Soyeon Kim

41 papers and 230 indexed citations i.

About

Soyeon Kim is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Soyeon Kim has authored 41 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Soyeon Kim’s work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural Networks and Reservoir Computing (6 papers). Soyeon Kim is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural Networks and Reservoir Computing (6 papers). Soyeon Kim collaborates with scholars based in South Korea, United States and United Kingdom. Soyeon Kim's co-authors include Hoi‐Jun Yoo, Sangyeob Kim, Donghyeon Han, Minsung Kim, Sangjin Kim, Sanghoon Kang, Juhyoung Lee, Jeong-Ryeol Kim, Seung Tae Choi and Hyoungsoon Lee and has published in prestigious journals such as Chemical Engineering Journal, Energy and Molecules.

In The Last Decade

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

Fields of papers citing papers by Soyeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soyeon Kim

Since Specialization
Citations

This map shows the geographic impact of Soyeon 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 Soyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyeon 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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2025