Fajie Yuan
About
Fajie Yuan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Fajie Yuan has authored 37 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fajie Yuan’s work include Recommender Systems and Techniques (22 papers), Topic Modeling (17 papers) and Advanced Bandit Algorithms Research (8 papers). Fajie Yuan is often cited by papers focused on Recommender Systems and Techniques (22 papers), Topic Modeling (17 papers) and Advanced Bandit Algorithms Research (8 papers). Fajie Yuan collaborates with scholars based in China, United Kingdom and Japan. Fajie Yuan's co-authors include Joemon M. Jose, Xiangnan He, Guibing Guo, Long Chen and Hai-Tao Yu and has published in prestigious journals such as Molecular Cell, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Sciences.
In The Last Decade
Fields of papers citing papers by Fajie 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 Fajie Yuan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fajie Yuan may publish in the future.
Countries citing papers authored by Fajie Yuan
Since SpecializationCitations
This map shows the geographic impact of Fajie 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 Fajie Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fajie Yuan more than expected).
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