Ji-Hyeong Han
About
In The Last Decade
Ji-Hyeong Han
26 papers receiving 260 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 74
- Artificial Intelligence 71
- Computational Theory and Mathematics 52
- Control and Systems Engineering 44
- Biomedical Engineering 37
Countries citing papers authored by Ji-Hyeong Han
This map shows the geographic impact of Ji-Hyeong Han'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 Ji-Hyeong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Hyeong Han more than expected).
Fields of papers citing papers by Ji-Hyeong Han
This network shows the impact of papers produced by Ji-Hyeong Han. 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 Ji-Hyeong Han. The network helps show where Ji-Hyeong Han may publish in the future.
Co-authorship network of co-authors of Ji-Hyeong Han
This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Hyeong Han. A scholar is included among the top collaborators of Ji-Hyeong Han 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 Ji-Hyeong Han. Ji-Hyeong Han 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 5 |
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.