Jae Won Lee
- Statistics and Probability top 1%
- Applied Mathematics top 2%
- Geometry and Topology top 2%
- Genetics top 10%
- Plant Science top 10%
- Co-authors
- Daniel O. StramChul Woo LeeGabriel‐Eduard VîlcuDae Won YoonDavid L. DeMetsBayram ŞahinDae Ho JinAli H. Alkhaldi
- Topics
- Geometric Analysis and Curvature Flows (39 papers)Advanced Differential Geometry Research (18 papers)Geometry and complex manifolds (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrics
- Partner nations
- South KoreaUnited StatesRomania
In The Last Decade
Jae Won Lee
48 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Statistics and Probability 398
- Applied Mathematics 317
- Geometry and Topology 218
- Genetics 213
- Plant Science 183
Countries citing papers authored by Jae Won Lee
This map shows the geographic impact of Jae Won 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 Jae Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Won Lee more than expected).
Fields of papers citing papers by Jae Won Lee
This network shows the impact of papers produced by Jae Won 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 Jae Won Lee. The network helps show where Jae Won Lee may publish in the future.
Co-authorship network of co-authors of Jae Won Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jae Won Lee. A scholar is included among the top collaborators of Jae Won 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 Jae Won Lee. Jae Won 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 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 35 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | Inequalities for generalized δ -Casorati curvatures of submanifolds in real space forms endowed with a semi-symmetric metric connection | 4 |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | ON PROPERTIES OF QUASI-CLASS A OPERATORS | 2 |
| 19 | Variance Components Testing in the Longitudinal Mixed Effects Modelbreakdown → | 744 |
| 20 | 40 |
About Jae Won Lee
Jae Won Lee is a scholar working on Applied Mathematics, Geometry and Topology and Statistics and Probability, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (39 papers), Advanced Differential Geometry Research (18 papers) and Geometry and complex manifolds (14 papers). The work is most often cited by research in Statistics and Probability (398 citations), Applied Mathematics (317 citations) and Geometry and Topology (218 citations). Jae Won Lee has collaborated with scholars based in South Korea, United States and Romania. Frequent co-authors include Daniel O. Stram, Chul Woo Lee, Gabriel‐Eduard Vîlcu, Dae Won Yoon, David L. DeMets, Bayram Şahin, Dae Ho Jin, Ali H. Alkhaldi, Akram Ali and Dong-Soo Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.
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.