Sungkyul University

459 papers and 6.2k indexed citations

About

In recent decades, authors affiliated with Sungkyul University have published 459 papers, which have received a total of 6.2k indexed citations. Scholars at this organization have produced 99 papers in Computer Vision and Pattern Recognition, 95 papers in Computer Networks and Communications and 66 papers in Artificial Intelligence on the topics of IoT and Edge/Fog Computing (22 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Energy Efficient Wireless Sensor Networks (14 papers). Their work is cited by papers focused on Computer Networks and Communications (1.6k citations), Computer Vision and Pattern Recognition (1.4k citations) and Electrical and Electronic Engineering (1.2k citations). Authors at Sungkyul University collaborate with scholars in South Korea, China and Pakistan and have published in prestigious journals including SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Hydrogen Energy. Some of Sungkyul University's most productive authors include Seungmin Rho, Anand Paul, Awais Ahmad, Irfan Mehmood, Sung Wook Baik, M. Mazhar Rathore, Jong‐Gwan Yook, Gi‐Ho Yun, Khan Muhammad and Jamil Ahmad.

In The Last Decade

Sungkyul University

413 papers receiving 6.1k citations

Fields of papers published by authors at Sungkyul University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Sungkyul University 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 Sungkyul University at the time of their publication.

Countries citing scholars working at Sungkyul University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Sungkyul University. 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 Sungkyul University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungkyul University 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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2026