Eunah Cho
About
In The Last Decade
Eunah Cho
39 papers receiving 380 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 441
- Computer Vision and Pattern Recognition 91
- Information Systems 26
- Molecular Biology 14
- Signal Processing 12
Countries citing papers authored by Eunah Cho
This map shows the geographic impact of Eunah 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 Eunah Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunah Cho more than expected).
Fields of papers citing papers by Eunah Cho
This network shows the impact of papers produced by Eunah 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 Eunah Cho. The network helps show where Eunah Cho may publish in the future.
Co-authorship network of co-authors of Eunah Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Eunah Cho. A scholar is included among the top collaborators of Eunah 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 Eunah Cho. Eunah 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 | 26 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 56 | |
| 11 | Pre-Translation for Neural Machine Translation. | 30 |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | Joint WMT 2013 Submission of the QUAERO Project | 3 |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 0 | |
| 20 | 22 |
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.