Hyeonwoo Noh

About

Hyeonwoo Noh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Hyeonwoo Noh has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Hyeonwoo Noh’s work include Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Hyeonwoo Noh is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Hyeonwoo Noh collaborates with scholars based in South Korea and United States. Hyeonwoo Noh's co-authors include Bohyung Han, Seunghoon Hong, Jonghwan Mun, Tackgeun You, Shaohua Sun, Joseph J. Lim, Minsu Cho, Ilchae Jung, André Araujo and Wonjae Shin and has published in prestigious journals such as Chemical Communications, Electronics Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Hyeonwoo Noh i

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Fields of papers citing papers by Hyeonwoo Noh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeonwoo 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 Hyeonwoo Noh. The network helps show where Hyeonwoo Noh may publish in the future.

Countries citing papers authored by Hyeonwoo Noh

Since Specialization

Citations

This map shows the geographic impact of Hyeonwoo 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 Hyeonwoo Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeonwoo Noh more than expected).

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.

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