Yong‐Yeon Jo
About
In The Last Decade
Yong‐Yeon Jo
30 papers receiving 237 citations
Peers
Comparison fields: 5 of 49
- Cardiology and Cardiovascular Medicine 118
- Artificial Intelligence 57
- Computer Vision and Pattern Recognition 40
- Computer Networks and Communications 37
- Hardware and Architecture 28
Countries citing papers authored by Yong‐Yeon Jo
This map shows the geographic impact of Yong‐Yeon Jo'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 Yong‐Yeon Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Yeon Jo more than expected).
Fields of papers citing papers by Yong‐Yeon Jo
This network shows the impact of papers produced by Yong‐Yeon Jo. 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 Yong‐Yeon Jo. The network helps show where Yong‐Yeon Jo may publish in the future.
Co-authorship network of co-authors of Yong‐Yeon Jo
This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Yeon Jo. A scholar is included among the top collaborators of Yong‐Yeon Jo 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 Yong‐Yeon Jo. Yong‐Yeon Jo 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 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 14 | |
| 11 | 15 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | Performance Evaluation of Link-based Similarity Measures on a Graph using GPU | 1 |
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.