Sung Min Park

13 papers and 838 indexed citations i.

About

Sung Min Park is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Sung Min Park has authored 13 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Sung Min Park’s work include Multimodal Machine Learning Applications (3 papers), Energy Efficient Wireless Sensor Networks (2 papers) and COVID-19 diagnosis using AI (2 papers). Sung Min Park is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Energy Efficient Wireless Sensor Networks (2 papers) and COVID-19 diagnosis using AI (2 papers). Sung Min Park collaborates with scholars based in United States and South Korea. Sung Min Park's co-authors include Mani Srivastava, Curt Schurgers, Vijay Raghunathan, Richard Catrambone, Hadi Salman, Aleksander Mądry, Ramin Zabih, Thorsten Joachims, Sang‐Bock Cho and Seung‐Hyun Moon and has published in prestigious journals such as IEEE Signal Processing Magazine, Human Factors The Journal of the Human Factors and Ergonomics Society and Computational Intelligence and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Sung Min Park i

Fields of papers citing papers by Sung Min Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Min Park. 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 Sung Min Park. The network helps show where Sung Min Park may publish in the future.

Countries citing papers authored by Sung Min Park

Since Specialization
Citations

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