Dong Huk Park

About

Dong Huk Park is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Dong Huk Park has authored 8 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Dong Huk Park’s work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Dong Huk Park is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Dong Huk Park collaborates with scholars based in United States, Hong Kong and Germany. Dong Huk Park's co-authors include Anna Rohrbach, Trevor Darrell, Lisa Anne Hendricks, Marcus Rohrbach, Bernt Schiele, Zeynep Akata, Vasili Ramanishka, Kate Saenko, Abir Das and Subhashini Venugopalan and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Dong Huk Park i

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Fields of papers citing papers by Dong Huk Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dong Huk Park

Since Specialization

Citations

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