Songlei Jian
About
Songlei Jian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Songlei Jian has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Songlei Jian’s work include Topic Modeling (7 papers), Advanced Graph Neural Networks (6 papers) and Recommender Systems and Techniques (5 papers). Songlei Jian is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (6 papers) and Recommender Systems and Techniques (5 papers). Songlei Jian collaborates with scholars based in China, Australia and United Kingdom. Songlei Jian's co-authors include Longbing Cao, Hang Gao, Kai Lü, Liang Hu and Dongsheng Li and has published in prestigious journals such as IEEE Access, Information Sciences and Neural Networks.
In The Last Decade
Fields of papers citing papers by Songlei Jian
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 Songlei Jian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Songlei Jian may publish in the future.
Countries citing papers authored by Songlei Jian
Since SpecializationCitations
This map shows the geographic impact of Songlei Jian'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 Songlei Jian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlei Jian more than expected).
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