Kai Lei

About

Kai Lei is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kai Lei has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 26 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Kai Lei’s work include Topic Modeling (19 papers), Caching and Content Delivery (15 papers) and Biomedical Text Mining and Ontologies (7 papers). Kai Lei is often cited by papers focused on Topic Modeling (19 papers), Caching and Content Delivery (15 papers) and Biomedical Text Mining and Ontologies (7 papers). Kai Lei collaborates with scholars based in China, Hong Kong and United States. Kai Lei's co-authors include Ying Shen, Min Yang, Yaliang Li, Kuai Xu and Yang Deng and has published in prestigious journals such as Advanced Functional Materials, Expert Systems with Applications and IEEE Communications Magazine.

In The Last Decade

Fields of papers citing papers by Kai Lei

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

Countries citing papers authored by Kai Lei

Since Specialization

Citations

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

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