Jinbae Im

3 papers and 23 indexed citations i.

About

Jinbae Im is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Jinbae Im has authored 3 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Jinbae Im’s work include Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers) and Video Analysis and Summarization (1 paper). Jinbae Im is often cited by papers focused on Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers) and Video Analysis and Summarization (1 paper). Jinbae Im collaborates with scholars based in South Korea. Jinbae Im's co-authors include Sehee Chung, Hoyeop Lee, Hyunsouk Cho, Sungzoon Cho and Seunghyun Park and has published in prestigious journals such as Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jinbae Im i

Fields of papers citing papers by Jinbae Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinbae Im

Since Specialization
Citations

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