Jamin Shin

About

Jamin Shin is a scholar working on Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jamin Shin has authored 14 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jamin Shin’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Jamin Shin is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Jamin Shin collaborates with scholars based in Hong Kong, South Korea and United States. Jamin Shin's co-authors include Pascale Fung, Ji Ho Park, Peng Xu, Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Zihan Liu, Farhad Bin Siddique, Juneyoung Park and Yan Xu and has published in prestigious journals such as arXiv (Cornell University), Meeting of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jamin Shin i

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Fields of papers citing papers by Jamin Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jamin Shin

Since Specialization

Citations

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