Chaewon Lee
Impact in
-
- Teaching and Learning Programming
- Online Learning and Analytics
- Aerospace Engineering top 10%
- Nuclear reactor physics and engineering
Papers in
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Cancer Immunotherapy and Biomarkers 2
-
- Radiopharmaceutical Chemistry and Applications 4
- Co-authors
- Jon Carmack (2 shared papers)F. Delage (2 shared papers)J. Somers (2 shared papers)David Porter (1 shared paper)M. K. Meyer (1 shared paper)Y.I. Chang (1 shared paper)S.L. Hayes (1 shared paper)Douglas E. Burkes (1 shared paper)
- Journals
- Journal of Nuclear Materials (4 papers)physica status solidi (a) (1 paper)PLoS ONE (1 paper)Computer Science Education (1 paper)Applied Radiation and Isotopes (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Chaewon Lee
7 papers receiving 301 citations
Peers
Comparison fields: 5 of 41
- Computer Science Applications 61
- Aerospace Engineering 145
- Materials Chemistry 210
- Inorganic Chemistry 46
- Developmental and Educational Psychology 35
Countries citing papers authored by Chaewon Lee
This map shows the geographic impact of Chaewon 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 Chaewon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaewon Lee more than expected).
Fields of papers citing papers by Chaewon Lee
This network shows the impact of papers produced by Chaewon 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 Chaewon Lee. The network helps show where Chaewon Lee may publish in the future.
Co-authors
The 24 scholars most cited alongside Chaewon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 170 | |
| 2 | 2014 | 69 | |
| 3 | 2007 | 29 | |
| 4 | 2012 | 25 | |
| 5 | 2008 | 10 | |
| 6 | 2023 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Chaewon Lee
Chaewon Lee is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Aerospace Engineering and Electrical and Electronic Engineering, having authored 11 papers that have together received 306 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (4 papers), Nuclear Materials and Properties (3 papers), Fusion materials and technologies (3 papers), Fuel Cells and Related Materials (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Electrocatalysts for Energy Conversion (2 papers) and Nuclear reactor physics and engineering (2 papers). The work is most often cited by research in Computer Science Applications (61 citations), Aerospace Engineering (145 citations), Materials Chemistry (210 citations), Inorganic Chemistry (46 citations) and Developmental and Educational Psychology (35 citations). Chaewon Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jon Carmack, F. Delage, J. Somers, David Porter, M. K. Meyer, Y.I. Chang, S.L. Hayes, Douglas E. Burkes, Leo Porter and Daniel Zingaro. Their work appears in journals such as Journal of Nuclear Materials, physica status solidi (a), PLoS ONE, Computer Science Education and Applied Radiation and Isotopes.
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.