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, Joseph J. Lim, Shaohua Sun, Ilchae Jung, Minsu Cho, 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
Fields of papers citing papers by Hyeonwoo Noh
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Hyeonwoo Noh. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hyeonwoo Noh may publish in the future.
Countries citing papers authored by Hyeonwoo Noh
Since SpecializationCitations
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).
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