Yun Liu

About

Yun Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yun Liu has authored 68 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Yun Liu’s work include Image Enhancement Techniques (23 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Image Fusion Techniques (11 papers). Yun Liu is often cited by papers focused on Image Enhancement Techniques (23 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Image Fusion Techniques (11 papers). Yun Liu collaborates with scholars based in China, United States and Singapore. Yun Liu's co-authors include Ye Tian, Erkang Chen, Sixiang Chen and Hailing Xiong and has published in prestigious journals such as Environmental Pollution, Journal of Medicinal Chemistry and Energy.

In The Last Decade

Fields of papers citing papers by Yun Liu

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

Countries citing papers authored by Yun Liu

Since Specialization

Citations

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

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