Jun Araki
About
Jun Araki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry.
According to data from OpenAlex, Jun Araki has authored 18 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Materials Chemistry. Recurrent topics in Jun Araki’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Jun Araki is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Jun Araki collaborates with scholars based in United States, Japan and India. Jun Araki's co-authors include Zhengbao Jiang, Graham Neubig, Frank F. Xu, Teruko Mitamura, Haibo Ding, Kouichi Miura, Kazuhiro Mae, Taisuke Maki, Zhengzhong Liu and Eduard Hovy and has published in prestigious journals such as Energy & Fuels, Chemistry Letters and Language Resources and Evaluation.
In The Last Decade
Co-authorship network of co-authors of Jun Araki i
Fields of papers citing papers by Jun Araki
Since SpecializationEngineeringComputer 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 Araki. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Araki may publish in the future.
Countries citing papers authored by Jun Araki
Since SpecializationCitations
This map shows the geographic impact of Jun Araki'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 Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Araki more than expected).
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