Youngduck Choi

About

Youngduck Choi is a scholar working on Artificial Intelligence, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Youngduck Choi has authored 2 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Education and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Youngduck Choi’s work include Innovative Teaching and Learning Methods (1 paper), Recommender Systems and Techniques (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Youngduck Choi is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Recommender Systems and Techniques (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Youngduck Choi collaborates with scholars based in United States and South Korea. Youngduck Choi's co-authors include Junghyun Cho, Jineon Baek, Byungsoo Kim, Dongmin Shin and Jinhwan Lee and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Youngduck Choi i

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Fields of papers citing papers by Youngduck Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngduck Choi

Since Specialization

Citations

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