Li Fang

About

Li Fang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Li Fang has authored 29 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Li Fang’s work include Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Li Fang is often cited by papers focused on Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). Li Fang collaborates with scholars based in China, Japan and United States. Li Fang's co-authors include Wei Zhong, Long Ye, Dong‐Qing Wei and Yun Tie and has published in prestigious journals such as Optics Express, IEEE Access and Thrombosis and Haemostasis.

In The Last Decade

Fields of papers citing papers by Li Fang

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

Countries citing papers authored by Li Fang

Since Specialization

Citations

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

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