Woojin Paik

17 papers and 78 indexed citations i.

About

Woojin Paik is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Woojin Paik has authored 17 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Woojin Paik’s work include Topic Modeling (2 papers), Robotics and Automated Systems (2 papers) and Advanced Text Analysis Techniques (2 papers). Woojin Paik is often cited by papers focused on Topic Modeling (2 papers), Robotics and Automated Systems (2 papers) and Advanced Text Analysis Techniques (2 papers). Woojin Paik collaborates with scholars based in South Korea, United States and China. Woojin Paik's co-authors include Elizabeth D. Liddy, Mary C. McKenna, Byung‐Cheol Kim, Minkyu Park, Gi‐Young Kim, Jin‐Yi Yu, Sangchul Han, Seungwoo Lee, Hyo Choi and Na An and has published in prestigious journals such as Sensors, Applied Sciences and Studies in Informatics and Control.

In The Last Decade

Co-authorship network of co-authors of Woojin Paik i

Fields of papers citing papers by Woojin Paik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Woojin Paik

Since Specialization
Citations

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