Seunggeun Chi
About
In The Last Decade
Seunggeun Chi
4 papers receiving 225 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 202
- Biomedical Engineering 123
- Artificial Intelligence 121
- Human-Computer Interaction 59
- Control and Systems Engineering 9
Countries citing papers authored by Seunggeun Chi
This map shows the geographic impact of Seunggeun Chi'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 Seunggeun Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunggeun Chi more than expected).
Fields of papers citing papers by Seunggeun Chi
This network shows the impact of papers produced by Seunggeun Chi. 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 Seunggeun Chi. The network helps show where Seunggeun Chi may publish in the future.
Co-authorship network of co-authors of Seunggeun Chi
This figure shows the co-authorship network connecting the top 25 collaborators of Seunggeun Chi. A scholar is included among the top collaborators of Seunggeun Chi 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 Seunggeun Chi. Seunggeun Chi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | InfoGCN: Representation Learning for Human Skeleton-based Action Recognition breakdown → | 219 |
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.