Korea Post

1.0k papers and 23.4k indexed citations

About

In recent decades, authors affiliated with Korea Post have published 1.0k papers, which have received a total of 23.4k indexed citations. Scholars at this organization have produced 244 papers in Computer Vision and Pattern Recognition, 178 papers in Electrical and Electronic Engineering and 152 papers in Computer Networks and Communications on the topics of Advanced Vision and Imaging (57 papers), Computer Graphics and Visualization Techniques (41 papers) and Parallel Computing and Optimization Techniques (39 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (7.1k citations), Mechanical Engineering (3.4k citations) and Biomedical Engineering (3.3k citations). Authors at Korea Post collaborate with scholars in South Korea, United States and Canada and have published in prestigious journals including Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition. Some of Korea Post's most productive authors include Seungyong Lee, Sunghyun Cho, Minsu Cho, Suha Kwak, Bohyung Han, Yan Lu, Dong‐Woo Cho, Jaesik Park, Seungjin Choi and Jin‐Hyung Shim.

In The Last Decade

Korea Post

941 papers receiving 23.2k citations

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).

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.

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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2026