Kin Fun Li

23 papers and 194 indexed citations i.

About

Kin Fun Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kin Fun Li has authored 23 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Kin Fun Li’s work include Advanced Image and Video Retrieval Techniques (7 papers), CCD and CMOS Imaging Sensors (3 papers) and Algorithms and Data Compression (2 papers). Kin Fun Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), CCD and CMOS Imaging Sensors (3 papers) and Algorithms and Data Compression (2 papers). Kin Fun Li collaborates with scholars based in Canada, China and United States. Kin Fun Li's co-authors include Fayez Gebali, David W. Capson, Darshika G. Perera, Michael McGuire and Dafang Zhang and has published in prestigious journals such as Applied Energy, Sensors and IEEE Access.

In The Last Decade

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

Countries citing papers authored by Kin Fun Li

Since Specialization
Citations

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

Rankless by CCL
2025