Pi-Yun Chen
About
Pi-Yun Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering.
According to data from OpenAlex, Pi-Yun Chen has authored 43 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Pi-Yun Chen’s work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers) and COVID-19 diagnosis using AI (5 papers). Pi-Yun Chen is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers) and COVID-19 diagnosis using AI (5 papers). Pi-Yun Chen collaborates with scholars based in Taiwan and United States. Pi-Yun Chen's co-authors include Chia‐Hung Lin, Kuei‐Hsiang Chao, Jian‐Xing Wu, Neng‐Sheng Pai, Chien‐Ming Li, Her‐Terng Yau, Chao‐Lin Kuo, Menghui Wang, Chung‐Dann Kan and K. Kirk Shung and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Applied Mathematical Modelling.
In The Last Decade
Co-authorship network of co-authors of Pi-Yun Chen i
Fields of papers citing papers by Pi-Yun Chen
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 Pi-Yun Chen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pi-Yun Chen may publish in the future.
Countries citing papers authored by Pi-Yun Chen
Since SpecializationCitations
This map shows the geographic impact of Pi-Yun Chen'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 Pi-Yun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pi-Yun Chen more than expected).
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