Haesun Park

137 papers and 5.7k indexed citations i.

About

Haesun Park is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Haesun Park has authored 137 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 20 papers in Signal Processing. Recurrent topics in Haesun Park’s work include Face and Expression Recognition (28 papers), Image Retrieval and Classification Techniques (17 papers) and Data Visualization and Analytics (17 papers). Haesun Park is often cited by papers focused on Face and Expression Recognition (28 papers), Image Retrieval and Classification Techniques (17 papers) and Data Visualization and Analytics (17 papers). Haesun Park collaborates with scholars based in United States, South Korea and Belgium. Haesun Park's co-authors include Hyunsoo Kim, Kinam Park, Jingu Kim, Jun Chen, Jaeyun Kim, Joseph R. Robinson, Jaegul Choo, Cheong Hee Park, Gene H. Golub and Peg Howland and has published in prestigious journals such as The Journal of Experimental Medicine, Bioinformatics and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Haesun Park i

Fields of papers citing papers by Haesun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haesun Park

Since Specialization
Citations

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