Daeyun Shin

5 papers and 118 indexed citations i.

About

Daeyun Shin is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering. According to data from OpenAlex, Daeyun Shin has authored 5 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Geology and 2 papers in Aerospace Engineering. Recurrent topics in Daeyun Shin’s work include Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotics and Sensor-Based Localization (2 papers). Daeyun Shin is often cited by papers focused on Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotics and Sensor-Based Localization (2 papers). Daeyun Shin collaborates with scholars based in United States and South Korea. Daeyun Shin's co-authors include Charless C. Fowlkes, Derek Hoiem, Zhile Ren, Erik B. Sudderth and Shu Kong and has published in prestigious journals such as International Journal of Remote Sensing, 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 Daeyun Shin i

Fields of papers citing papers by Daeyun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daeyun Shin

Since Specialization
Citations

This map shows the geographic impact of Daeyun 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 Daeyun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeyun 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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2025