Junhyug Noh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Transplantation top 5%
- Media Technology top 5%
- Aerospace Engineering
- Topics
- Advanced Neural Network Applications (4 papers)Chronic Kidney Disease and Diabetes (3 papers)Renal Transplantation Outcomes and Treatments (2 papers)
- Journals
- Scientific ReportsJournal of the American Society of NephrologyExpert Systems with Applications
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Junhyug Noh
15 papers receiving 466 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 236
- Artificial Intelligence 74
- Transplantation 70
- Media Technology 56
- Aerospace Engineering 53
Countries citing papers authored by Junhyug Noh
This map shows the geographic impact of Junhyug Noh'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 Junhyug Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhyug Noh more than expected).
Fields of papers citing papers by Junhyug Noh
This network shows the impact of papers produced by Junhyug Noh. 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 Junhyug Noh. The network helps show where Junhyug Noh may publish in the future.
Co-authorship network of co-authors of Junhyug Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Junhyug Noh. A scholar is included among the top collaborators of Junhyug Noh 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 Junhyug Noh. Junhyug Noh 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 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 23 | |
| 9 | 10 | |
| 10 | 177 | |
| 11 | 62 | |
| 12 | 49 | |
| 13 | 84 | |
| 14 | 42 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Estimating Multiple Evoked Emotions from Videos. | 3 |
About Junhyug Noh
Junhyug Noh is a scholar working on Transplantation, Nephrology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Transplantation (70 citations), Health Informatics (23 citations) and Computer Vision and Pattern Recognition (236 citations). Junhyug Noh has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Gunhee Kim, Wonho Bae, Wonhee Lee, Kangil Kim, Soochan Lee, Beomsu Kim, Dong Ki Kim, Jung Pyo Lee, Kyung Don Yoo and Chun Soo Lim. Their work appears in journals such as Scientific Reports, Journal of the American Society of Nephrology and Expert Systems with Applications.
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.