Kan Li

About

Kan Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kan Li has authored 37 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kan Li’s work include Neural Networks and Applications (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Blind Source Separation Techniques (4 papers). Kan Li is often cited by papers focused on Neural Networks and Applications (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Blind Source Separation Techniques (4 papers). Kan Li collaborates with scholars based in China, United States and Australia. Kan Li's co-authors include José C. Prı́ncipe, Guangquan Zhang, Yuxiang Hu, Xiao–Ping Zhang and Jie Lü and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Image Processing.

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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