Jihun Yi
About
In The Last Decade
Jihun Yi
4 papers receiving 325 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 243
- Signal Processing 107
- Computer Networks and Communications 103
- Control and Systems Engineering 66
- Electrical and Electronic Engineering 27
Countries citing papers authored by Jihun Yi
This map shows the geographic impact of Jihun Yi'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 Jihun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihun Yi more than expected).
Fields of papers citing papers by Jihun Yi
This network shows the impact of papers produced by Jihun Yi. 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 Jihun Yi. The network helps show where Jihun Yi may publish in the future.
Co-authorship network of co-authors of Jihun Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Jihun Yi. A scholar is included among the top collaborators of Jihun Yi 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 Jihun Yi. Jihun Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines breakdown → | 306 |
| 4 | 23 |
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.