Sung-Hyuk Cha
About
Sung-Hyuk Cha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing.
According to data from OpenAlex, Sung-Hyuk Cha has authored 24 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Sung-Hyuk Cha’s work include Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sung-Hyuk Cha is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sung-Hyuk Cha collaborates with scholars based in United States and South Korea. Sung-Hyuk Cha's co-authors include Charles C. Tappert, Sargur N. Srihari, Hitesh Arora, Soojin Lee, John V. Monaco, Yong‐Chul Shin, Sangjik Lee, Michael C. Gibbons, A. William Evans and George Nagy and has published in prestigious journals such as Pattern Recognition, Journal of Forensic Sciences and Journal of Mathematical Imaging and Vision.
In The Last Decade
Co-authorship network of co-authors of Sung-Hyuk Cha i
Fields of papers citing papers by Sung-Hyuk Cha
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 Sung-Hyuk Cha. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sung-Hyuk Cha may publish in the future.
Countries citing papers authored by Sung-Hyuk Cha
Since SpecializationCitations
This map shows the geographic impact of Sung-Hyuk Cha'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 Sung-Hyuk Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Hyuk Cha more than expected).
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