Caixia Yuan
About
Caixia Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Caixia Yuan has authored 36 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Caixia Yuan’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (10 papers). Caixia Yuan is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (10 papers). Caixia Yuan collaborates with scholars based in China, Japan and United States. Caixia Yuan's co-authors include Xiaojie Wang, Fuji Ren, Yongbin Li, Caisheng Wu and Xiaojuan Jiang and has published in prestigious journals such as Analytical Chemistry, IEEE Access and Neurocomputing.
In The Last Decade
Fields of papers citing papers by Caixia Yuan
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 Caixia Yuan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Caixia Yuan may publish in the future.
Countries citing papers authored by Caixia Yuan
Since SpecializationCitations
This map shows the geographic impact of Caixia Yuan'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 Caixia Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Yuan more than expected).
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