Daiju Ueda

85 papers and 1.3k indexed citations i.

About

Daiju Ueda is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Daiju Ueda has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Electrical and Electronic Engineering and 19 papers in Condensed Matter Physics. Recurrent topics in Daiju Ueda’s work include Radiomics and Machine Learning in Medical Imaging (26 papers), GaN-based semiconductor devices and materials (19 papers) and Artificial Intelligence in Healthcare and Education (18 papers). Daiju Ueda is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), GaN-based semiconductor devices and materials (19 papers) and Artificial Intelligence in Healthcare and Education (18 papers). Daiju Ueda collaborates with scholars based in Japan, Italy and United States. Daiju Ueda's co-authors include Yukio Miki, Shannon L. Walston, Akira Yamamoto, Akitoshi Shimazaki and Shinji Naganawa and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Daiju Ueda

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

Countries citing papers authored by Daiju Ueda

Since Specialization
Citations

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

Rankless by CCL
2025