Daeyun Shin
About
Daeyun Shin is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering.
According to data from OpenAlex, Daeyun Shin has authored 5 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Geology and 2 papers in Aerospace Engineering. Recurrent topics in Daeyun Shin’s work include Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotics and Sensor-Based Localization (2 papers). Daeyun Shin is often cited by papers focused on Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Robotics and Sensor-Based Localization (2 papers). Daeyun Shin collaborates with scholars based in United States and South Korea. Daeyun Shin's co-authors include Charless C. Fowlkes, Zhile Ren, Erik B. Sudderth, Derek Hoiem and Shu Kong and has published in prestigious journals such as International Journal of Remote Sensing.
In The Last Decade
Fields of papers citing papers by Daeyun Shin
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 Daeyun Shin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daeyun Shin may publish in the future.
Countries citing papers authored by Daeyun Shin
Since SpecializationCitations
This map shows the geographic impact of Daeyun Shin'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 Daeyun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeyun Shin more than expected).
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