Sungeun Hong
About
In The Last Decade
Sungeun Hong
28 papers receiving 458 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 347
- Artificial Intelligence 185
- Signal Processing 69
- Media Technology 32
- Radiology, Nuclear Medicine and Imaging 32
Countries citing papers authored by Sungeun Hong
This map shows the geographic impact of Sungeun Hong'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 Sungeun Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungeun Hong more than expected).
Fields of papers citing papers by Sungeun Hong
This network shows the impact of papers produced by Sungeun Hong. 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 Sungeun Hong. The network helps show where Sungeun Hong may publish in the future.
Co-authorship network of co-authors of Sungeun Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sungeun Hong. A scholar is included among the top collaborators of Sungeun Hong 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 Sungeun Hong. Sungeun Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 27 | |
| 13 | 13 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | 41 | |
| 17 | Deep Learning for Content-Based, Cross-Modal Retrieval of Videos and Music. | 3 |
| 18 | 46 | |
| 19 | 19 | |
| 20 | 3 |
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.