Tae-Hyun Oh

62 papers and 1.4k indexed citations i.

About

Tae-Hyun Oh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tae-Hyun Oh has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Tae-Hyun Oh’s work include Advanced Vision and Imaging (14 papers), Speech and Audio Processing (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Tae-Hyun Oh is often cited by papers focused on Advanced Vision and Imaging (14 papers), Speech and Audio Processing (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Tae-Hyun Oh collaborates with scholars based in South Korea, United States and Canada. Tae-Hyun Oh's co-authors include In So Kweon, Yu‐Wing Tai, Junsik Kim, Arda Senocak, Ming–Hsuan Yang, Joon‐Young Lee, Ruohan Gao, Jean‐Charles Bazin, Lorenzo Torresani and Kristen Grauman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and Sensors.

In The Last Decade

Co-authorship network of co-authors of Tae-Hyun Oh i

Fields of papers citing papers by Tae-Hyun Oh

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

Countries citing papers authored by Tae-Hyun Oh

Since Specialization
Citations

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

Rankless by CCL
2025