Dae Hoon Park

12 papers and 222 indexed citations i.

About

Dae Hoon Park is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dae Hoon Park has authored 12 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dae Hoon Park’s work include Advanced Text Analysis Techniques (6 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Dae Hoon Park is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Dae Hoon Park collaborates with scholars based in United States, China and South Korea. Dae Hoon Park's co-authors include Wei Peng, ChengXiang Zhai, Mengwen Liu, Catherine Blake, Hyun Duk Kim, Haohong Wang, ChengXiang Zhai, Yue Lu, Anchalee Pengkit and Han S. Uhm and has published in prestigious journals such as Information Processing & Management, Plasma Processes and Polymers and Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Dae Hoon Park i

Fields of papers citing papers by Dae Hoon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dae Hoon Park

Since Specialization
Citations

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