Rae Young Kim

40 papers and 517 indexed citations i.

About

Rae Young Kim is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Rae Young Kim has authored 40 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Applied Mathematics, 28 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Mechanics. Recurrent topics in Rae Young Kim’s work include Mathematical Analysis and Transform Methods (32 papers), Image and Signal Denoising Methods (28 papers) and Advanced Numerical Analysis Techniques (11 papers). Rae Young Kim is often cited by papers focused on Mathematical Analysis and Transform Methods (32 papers), Image and Signal Denoising Methods (28 papers) and Advanced Numerical Analysis Techniques (11 papers). Rae Young Kim collaborates with scholars based in South Korea, Denmark and United States. Rae Young Kim's co-authors include Hong Oh Kim, Ole Christensen, Minwoo Nam, Minkyu Choi, Seung‐Hwan Ham, Lynn Paine, Zuowei Shen, Denisse R. Thompson, Stanislaw Schukajlow and Stefan Ufer and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, IEEE Geoscience and Remote Sensing Letters and Journal of Teacher Education.

In The Last Decade

Co-authorship network of co-authors of Rae Young Kim i

Fields of papers citing papers by Rae Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rae Young Kim

Since Specialization
Citations

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