Ji‐Seon Lee
About
In The Last Decade
Ji‐Seon Lee
32 papers receiving 570 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 250
- Biomedical Engineering 105
- Artificial Intelligence 89
- Materials Chemistry 83
- Information Systems 81
Countries citing papers authored by Ji‐Seon Lee
This map shows the geographic impact of Ji‐Seon Lee'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‐Seon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Seon Lee more than expected).
Fields of papers citing papers by Ji‐Seon Lee
This network shows the impact of papers produced by Ji‐Seon Lee. 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‐Seon Lee. The network helps show where Ji‐Seon Lee may publish in the future.
Co-authorship network of co-authors of Ji‐Seon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Seon Lee. A scholar is included among the top collaborators of Ji‐Seon Lee 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‐Seon Lee. Ji‐Seon Lee 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 | 13 | |
| 3 | 14 | |
| 4 | 23 | |
| 5 | An Exploration of Nonlinear Latent Growth Model Using Exponential Function: As an Alternative to Quadratic LGM | 0 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 123 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 24 | |
| 18 | 0 | |
| 19 | 38 | |
| 20 | 18 |
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.