Yujin Oh
Impact in
- Health Informatics top 5%
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Speech Recognition and Synthesis 5
- AI in cancer detection 3
- Co-authors
- Jong Chul Ye (6 shared papers)Sang Joon Park (4 shared papers)Joon Beom Seo (2 shared papers)Jung-Inn Sohn (1 shared paper)Jin Pyo Hong (1 shared paper)Jea‐Gun Park (1 shared paper)Sanghyo Lee (1 shared paper)WonBae Ko (1 shared paper)
- Journals
- Medical Image Analysis (3 papers)Nature Communications (2 papers)Journal of Cosmetic and Laser Therapy (2 papers)IEEE Signal Processing Letters (2 papers)Nano Energy (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Yujin Oh
33 papers receiving 623 citations
Peers
Comparison fields: 5 of 118
- Health Informatics 24
- Polymers and Plastics 125
- Dermatology 72
- Radiology, Nuclear Medicine and Imaging 144
- Biomedical Engineering 221
Countries citing papers authored by Yujin Oh
This map shows the geographic impact of Yujin Oh'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 Yujin Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujin Oh more than expected).
Fields of papers citing papers by Yujin Oh
This network shows the impact of papers produced by Yujin Oh. 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 Yujin Oh. The network helps show where Yujin Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Yujin Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 157 | |
| 2 | 2021 | 85 | |
| 3 | 2012 | 59 | |
| 4 | 2022 | 47 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 38 | |
| 7 | 2024 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2013 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2004 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2011 | 11 | |
| 15 | 2004 | 11 | |
| 16 | 2022 | 10 | |
| 17 | An analytical transformation technique for generating uniformly spaced computational mesh | 1980 | 8 |
| 18 | 2018 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2016 | 7 |
About Yujin Oh
Yujin Oh is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Health, Toxicology and Mutagenesis, having authored 47 papers that have together received 652 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Air Quality and Health Impacts (3 papers), Indoor Air Quality and Microbial Exposure (3 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (24 citations), Polymers and Plastics (125 citations), Dermatology (72 citations), Radiology, Nuclear Medicine and Imaging (144 citations) and Biomedical Engineering (221 citations). Yujin Oh has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Jong Chul Ye, Sang Joon Park, Joon Beom Seo, Jung-Inn Sohn, Jin Pyo Hong, Jea‐Gun Park, Sanghyo Lee, WonBae Ko, Jae‐Kwang Lim and Jin Hwan Kim. Their work appears in journals such as Medical Image Analysis, Nature Communications, Journal of Cosmetic and Laser Therapy, IEEE Signal Processing Letters and Nano Energy.
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.