Daeyun Shin
About
In The Last Decade
Daeyun Shin
4 papers receiving 161 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 126
- Computational Mechanics 87
- Computer Graphics and Computer-Aided Design 47
- Geology 46
- Aerospace Engineering 33
Countries citing papers authored by Daeyun Shin
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).
Fields of papers citing papers by Daeyun Shin
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.
Co-authorship network of co-authors of Daeyun Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Daeyun Shin. A scholar is included among the top collaborators of Daeyun Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daeyun Shin. Daeyun Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Towards a novel high-spatial-resolution satellite rainfall product from C-band SAR Sentinel-1 over Central South Korea based on a bottom-up approach | International Journal of Remote Sensing | Daeyun Shin et al. | 0 |
| 2 | Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation | Shu Kong, Daeyun Shin et al. | 32 | |
| 3 | Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction | Daeyun Shin, Charless C. Fowlkes et al. | 48 | |
| 4 | Downscaling Advanced Microwave Scanning Radiometer 2 (AMSR2) Soil Moisture Data Using Regression-kriging | No-Wook Park, Kwang Jin Kim et al. | 1 | |
| 5 | Completing 3D object shape from one depth image | Jason Rock, Tanmay Gupta et al. | 85 |
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.