Xisen Jin

About

Xisen Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Xisen Jin has authored 7 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Xisen Jin’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Speech and dialogue systems (2 papers). Xisen Jin is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Speech and dialogue systems (2 papers). Xisen Jin collaborates with scholars based in United States, Canada and Singapore. Xisen Jin's co-authors include Xiang Ren, Leonardo Neves, Wenqiang Lei, Xiang Ren and Meng Qu and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Xisen Jin

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

Countries citing papers authored by Xisen Jin

Since Specialization

Citations

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

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