Seiichi Uchida

165 papers and 2.6k indexed citations i.

About

Seiichi Uchida is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Seiichi Uchida has authored 165 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 20 papers in Molecular Biology. Recurrent topics in Seiichi Uchida’s work include Handwritten Text Recognition Techniques (62 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Image Retrieval and Classification Techniques (33 papers). Seiichi Uchida is often cited by papers focused on Handwritten Text Recognition Techniques (62 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Image Retrieval and Classification Techniques (33 papers). Seiichi Uchida collaborates with scholars based in Japan, Germany and United States. Seiichi Uchida's co-authors include Brian Kenji Iwana, Takashi Akagi, Marcus Liwicki, Kanae Masuda and Hiroaki Sakoe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Fields of papers citing papers by Seiichi Uchida

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

Countries citing papers authored by Seiichi Uchida

Since Specialization

Citations

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

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