Kuniaki Saito

24 papers and 1.3k indexed citations i.

About

Kuniaki Saito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kuniaki Saito has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kuniaki Saito’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kuniaki Saito is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kuniaki Saito collaborates with scholars based in Japan, United States and South Korea. Kuniaki Saito's co-authors include Kate Saenko, Kazuyoshi Imaizumi, Stan Sclaroff, Donghyun Kim and Hiroshi Fujita and has published in prestigious journals such as Scientific Reports, BioMed Research International and Neuro-Oncology.

In The Last Decade

Fields of papers citing papers by Kuniaki Saito

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

Countries citing papers authored by Kuniaki Saito

Since Specialization
Citations

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

Rankless by CCL
2025