Jun Lei

33 papers and 202 indexed citations i.

About

Jun Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Lei has authored 33 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Jun Lei’s work include Recommender Systems and Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Digital Media Forensic Detection (5 papers). Jun Lei is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Digital Media Forensic Detection (5 papers). Jun Lei collaborates with scholars based in China and Canada. Jun Lei's co-authors include Shuo Li, Dan Tu and Jun Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Neurocomputing.

In The Last Decade

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

Countries citing papers authored by Jun Lei

Since Specialization
Citations

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

Rankless by CCL
2025