Sung In Cho
About
In The Last Decade
Sung In Cho
52 papers receiving 559 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 118
- Media Technology 99
- Electrical and Electronic Engineering 45
- Signal Processing 35
Countries citing papers authored by Sung In Cho
This map shows the geographic impact of Sung In Cho'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 Sung In Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung In Cho more than expected).
Fields of papers citing papers by Sung In Cho
This network shows the impact of papers produced by Sung In Cho. 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 Sung In Cho. The network helps show where Sung In Cho may publish in the future.
Co-authorship network of co-authors of Sung In Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Sung In Cho. A scholar is included among the top collaborators of Sung In Cho 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 Sung In Cho. Sung In Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 23 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 11 |
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.