Jae-Hyun Jun

About

Jae-Hyun Jun is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Jae-Hyun Jun has authored 10 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Jae-Hyun Jun’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Coding and Compression Technologies (2 papers). Jae-Hyun Jun is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Coding and Compression Technologies (2 papers). Jae-Hyun Jun collaborates with scholars based in South Korea. Jae-Hyun Jun's co-authors include Jin-Hwa Kim, Jung-Woo Ha, Byoung‐Tak Zhang, Sang-Woo Lee, Hak Seung Lee, Bon‐Kwon Koo, Yeong Shik Kim, Sung‐Ho Kim, Sang-Woo Lee and Min-Jun Kim and has published in prestigious journals such as Molecules, Journal of Information Processing Systems and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jae-Hyun Jun i

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Fields of papers citing papers by Jae-Hyun Jun

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 Jae-Hyun Jun. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jae-Hyun Jun may publish in the future.

Countries citing papers authored by Jae-Hyun Jun

Since Specialization

Citations

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

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