Junyi Li

About

Junyi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Junyi Li has authored 12 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in General Social Sciences. Recurrent topics in Junyi Li’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Junyi Li is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Junyi Li collaborates with scholars based in China, Canada and Mexico. Junyi Li's co-authors include Wayne Xin Zhao, Ji-Rong Wen, Tianyi Tang, Jian‐Yun Nie and Yifan Du and has published in prestigious journals such as ACM Computing Surveys.

In The Last Decade

Fields of papers citing papers by Junyi Li

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

Countries citing papers authored by Junyi Li

Since Specialization

Citations

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

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