Pao-Ta Yu

60 papers and 854 indexed citations i.

About

Pao-Ta Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Education. According to data from OpenAlex, Pao-Ta Yu has authored 60 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Education. Recurrent topics in Pao-Ta Yu’s work include Image and Signal Denoising Methods (15 papers), Neural Networks and Applications (8 papers) and Advanced Image Fusion Techniques (7 papers). Pao-Ta Yu is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Neural Networks and Applications (8 papers) and Advanced Image Fusion Techniques (7 papers). Pao-Ta Yu collaborates with scholars based in Taiwan, United States and China. Pao-Ta Yu's co-authors include Hung-Hsu Tsai, Tzu-Chao Lin, Jinn‐Min Yang, Bor‐Chen Kuo, Chang-Shing Lee, Yau-Hwang Kuo, Jyh-Shyan Lin, Edward J. Coyle, Yen-Shou Lai and Moncef Gabbouj and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Pao-Ta Yu i

Fields of papers citing papers by Pao-Ta Yu

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

Countries citing papers authored by Pao-Ta Yu

Since Specialization
Citations

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

Rankless by CCL
2025