Yoo Na Hwang
- Radiology, Nuclear Medicine and Imaging
- Mechanical Engineering
- Biomedical Engineering
- Mechanics of Materials
- Mathematical Physics top 10%
- Co-authors
- Sung Min KimSen DengJu Hwan LeeYuan JiangEun‐Seok ShinJae Hoon JeongSang‐goo LeeSung‐Min Kim
- Topics
- Medical Image Segmentation Techniques (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Neural Networks and Applications (4 papers)
- Journals
- International Journal of Heat and Mass TransferIEEE Transactions on Biomedical EngineeringBioMed Research International
- Partner nations
- South KoreaTaiwanUnited States
In The Last Decade
Yoo Na Hwang
21 papers receiving 309 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 82
- Mechanical Engineering 71
- Biomedical Engineering 55
- Mechanics of Materials 54
- Mathematical Physics 53
Countries citing papers authored by Yoo Na Hwang
This map shows the geographic impact of Yoo Na Hwang'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 Yoo Na Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoo Na Hwang more than expected).
Fields of papers citing papers by Yoo Na Hwang
This network shows the impact of papers produced by Yoo Na Hwang. 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 Yoo Na Hwang. The network helps show where Yoo Na Hwang may publish in the future.
Co-authorship network of co-authors of Yoo Na Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Yoo Na Hwang. A scholar is included among the top collaborators of Yoo Na Hwang 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 Yoo Na Hwang. Yoo Na Hwang 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 | 5 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 50 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 35 | |
| 19 | 104 | |
| 20 | 5 |
About Yoo Na Hwang
Yoo Na Hwang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology, having authored 22 papers that have together received 320 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Mathematical Physics (53 citations), Health Informatics (6 citations) and Radiology, Nuclear Medicine and Imaging (82 citations). Yoo Na Hwang has collaborated with scholars based in South Korea, Taiwan and United States. Frequent co-authors include Sung Min Kim, Sen Deng, Ju Hwan Lee, Yuan Jiang, Eun‐Seok Shin, Jae Hoon Jeong, Sang‐goo Lee, Sung Min Kim, Sung‐Min Kim and Ga‐Young Kim. Their work appears in journals such as International Journal of Heat and Mass Transfer, IEEE Transactions on Biomedical Engineering and BioMed Research International.
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.