Geonmo Gu

10 papers and 174 indexed citations i.

About

Geonmo Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Geonmo Gu has authored 10 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Geonmo Gu’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Graph Neural Networks (3 papers) and Graph Theory and Algorithms (3 papers). Geonmo Gu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Graph Neural Networks (3 papers) and Graph Theory and Algorithms (3 papers). Geonmo Gu collaborates with scholars based in South Korea, Italy and United States. Geonmo Gu's co-authors include Byungsoo Ko, Kunsoo Park, Wook-Shin Han, Yong Man Ro and Hyunjoon Kim and has published in prestigious journals such as Theoretical Computer Science.

In The Last Decade

Fields of papers citing papers by Geonmo Gu

Since Specialization
EngineeringComputer 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 Geonmo Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Geonmo Gu may publish in the future.

Countries citing papers authored by Geonmo Gu

Since Specialization
Citations

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

Rankless by CCL
2025