Jun Suzuki

159 papers and 2.3k indexed citations i.

About

Jun Suzuki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jun Suzuki has authored 159 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 13 papers in Biomedical Engineering. Recurrent topics in Jun Suzuki’s work include Topic Modeling (56 papers), Natural Language Processing Techniques (55 papers) and Speech Recognition and Synthesis (15 papers). Jun Suzuki is often cited by papers focused on Topic Modeling (56 papers), Natural Language Processing Techniques (55 papers) and Speech Recognition and Synthesis (15 papers). Jun Suzuki collaborates with scholars based in Japan, United States and China. Jun Suzuki's co-authors include Hideki Isozaki, Tadashi Kokubo, Mitsuru Takemoto, Takashi Nakamura, Masashi Neo, Masaaki Nagata, M Takahashi, Takumi Kurosu, Kohji Shirai and Yoh Miyashita and has published in prestigious journals such as Nucleic Acids Research, Circulation and Biomaterials.

In The Last Decade

Co-authorship network of co-authors of Jun Suzuki i

Fields of papers citing papers by Jun Suzuki

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

Countries citing papers authored by Jun Suzuki

Since Specialization
Citations

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

Rankless by CCL
2025