Jongyoun Noh
About
In The Last Decade
Jongyoun Noh
4 papers receiving 687 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 530
- Computer Networks and Communications 335
- Computer Vision and Pattern Recognition 316
- Biomedical Engineering 143
- Epidemiology 90
Countries citing papers authored by Jongyoun Noh
This map shows the geographic impact of Jongyoun 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 Jongyoun Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongyoun Noh more than expected).
Fields of papers citing papers by Jongyoun Noh
This network shows the impact of papers produced by Jongyoun 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 Jongyoun Noh. The network helps show where Jongyoun Noh may publish in the future.
Co-authorship network of co-authors of Jongyoun Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Jongyoun Noh. A scholar is included among the top collaborators of Jongyoun 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 Jongyoun Noh. Jongyoun 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 | 7 | |
| 3 | 1 | |
| 4 | 117 | |
| 5 | Learning Memory-Guided Normality for Anomaly Detection breakdown → | 571 |
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.