Junbum Cha

6 papers and 96 indexed citations i.

About

Junbum Cha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Junbum Cha has authored 6 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Junbum Cha’s work include Advanced Image and Video Retrieval Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Junbum Cha is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Junbum Cha collaborates with scholars based in South Korea, Japan and Germany. Junbum Cha's co-authors include Sanghyuk Chun, Hyunjung Shim, Jonghwan Mun, Byungseok Roh, Bado Lee and Sanghyun Park and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Junbum Cha i

Fields of papers citing papers by Junbum Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junbum Cha

Since Specialization
Citations

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