Korea Post

651 papers and 15.6k indexed citations i.

About

In recent decades, authors affiliated with Korea Post have published 651 papers, which have received a total of 15.6k indexed citations. Scholars at this organization have produced 136 papers in Computer Vision and Pattern Recognition, 114 papers in Electrical and Electronic Engineering and 83 papers in Artificial Intelligence on the topics of Advanced Vision and Imaging (31 papers), Domain Adaptation and Few-Shot Learning (25 papers) and Computer Graphics and Visualization Techniques (21 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (3.6k citations), Mechanical Engineering (2.8k citations) and Biomedical Engineering (2.6k citations). Authors at Korea Post collaborate with scholars in South Korea, United States and Japan and have published in prestigious journals including Angewandte Chemie International Edition, Energy & Environmental Science and Journal of Applied Physics. Some of Korea Post's most productive authors include Seungyong Lee, Sunghyun Cho, Suha Kwak, Dong‐Woo Cho, Jaesik Park, Jin‐Hyung Shim, Bohyung Han, Christopher Choy, Jong Young Kim and Vladlen Koltun.

In The Last Decade

Fields of papers published by authors at Korea Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Korea Post at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Korea Post at the time of their publication.

Countries citing scholars working at Korea Post

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Korea Post. 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 papers produced at Korea Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Korea Post 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2025