Yonghwa Choi
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Co-authors
- Jaewoo KangJinhyuk LeeMujeen SungMinbyul JeongAik Choon TanMinji JeonDonghyeon KimSunkyu Kim
- Topics
- Biomedical Text Mining and Ontologies (4 papers)Topic Modeling (4 papers)Planetary Science and Exploration (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yonghwa Choi
16 papers receiving 230 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 135
- Artificial Intelligence 114
- Computational Theory and Mathematics 44
- Radiology, Nuclear Medicine and Imaging 16
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Yonghwa Choi
This map shows the geographic impact of Yonghwa Choi'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 Yonghwa Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghwa Choi more than expected).
Fields of papers citing papers by Yonghwa Choi
This network shows the impact of papers produced by Yonghwa Choi. 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 Yonghwa Choi. The network helps show where Yonghwa Choi may publish in the future.
Co-authorship network of co-authors of Yonghwa Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Yonghwa Choi. A scholar is included among the top collaborators of Yonghwa Choi 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 Yonghwa Choi. Yonghwa Choi 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 | 3 | |
| 3 | 65 | |
| 4 | Korea's First Scientific Instruments on the Lunar Surface | 1 |
| 5 | 7 | |
| 6 | Optical Performance of Wide-Angle Polarimetric Camera; PolCam | 1 |
| 7 | 20 | |
| 8 | 36 | |
| 9 | 25 | |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | Preliminary Design of Wide-Angle Polarimetric Camera for the First Korean Lunar Mission | 2 |
| 15 | 15 | |
| 16 | NanoSWARM: A Cubesat Discovery Mission to Study Space Weathering, Lunar Magnetism, Lunar Water, and Small-Scale Magnetospheres | 2 |
| 17 | Comet 174P/Echeclus | 2 |
About Yonghwa Choi
Yonghwa Choi is a scholar working on Health Informatics, Astronomy and Astrophysics and Physiology, having authored 17 papers that have together received 234 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Topic Modeling (4 papers) and Planetary Science and Exploration (3 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (114 citations) and Computational Theory and Mathematics (44 citations). Yonghwa Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jaewoo Kang, Jinhyuk Lee, Mujeen Sung, Minbyul Jeong, Aik Choon Tan, Minji Jeon, Donghyeon Kim, Sunkyu Kim, Kyubum Lee and Seongsoon Kim. Their work appears in journals such as Bioinformatics, The Journal of the Acoustical Society of America and IEEE Access.
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.