Kan Li

About

Kan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kan Li has authored 69 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Kan Li’s work include Complex Network Analysis Techniques (14 papers), Topic Modeling (14 papers) and Opinion Dynamics and Social Influence (12 papers). Kan Li is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Topic Modeling (14 papers) and Opinion Dynamics and Social Influence (12 papers). Kan Li collaborates with scholars based in China, Australia and Pakistan. Kan Li's co-authors include Sadique Ahmad, Jie Lü, Guangquan Zhang and Richard Yi Da Xu and has published in prestigious journals such as IEEE Access, Information Sciences and Pattern Recognition.

In The Last Decade

Fields of papers citing papers by Kan 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 Kan Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kan Li may publish in the future.

Countries citing papers authored by Kan Li

Since Specialization

Citations

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

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