Dongmin Shin

About

Dongmin Shin is a scholar working on Artificial Intelligence, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dongmin Shin 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 Dongmin Shin’s work include Innovative Teaching and Learning Methods (1 paper), Recommender Systems and Techniques (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Dongmin Shin 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). Dongmin Shin collaborates with scholars based in United States and South Korea. Dongmin Shin's co-authors include Junghyun Cho, Jineon Baek, Byungsoo Kim, Youngduck Choi 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 Dongmin Shin i

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Fields of papers citing papers by Dongmin Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dongmin Shin

Since Specialization

Citations

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