Inkyu Shin

About

Inkyu Shin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Inkyu Shin has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Inkyu Shin’s work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (4 papers). Inkyu Shin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (4 papers). Inkyu Shin collaborates with scholars based in South Korea, Canada and United States. Inkyu Shin's co-authors include In So Kweon, Seokju Lee, Fei Pan, François Rameau, Kuk‐Jin Yoon, Sanghyun Woo, Buyu Liu, Dongbok Shin, Sunghyun Kim and Bingbing Zhuang and has published in prestigious journals such as Journal of Geochemical Exploration, 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 Inkyu Shin i

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Fields of papers citing papers by Inkyu Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inkyu Shin

Since Specialization

Citations

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