Fang Li
About
Fang Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics.
According to data from OpenAlex, Fang Li has authored 126 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 34 papers in Media Technology and 25 papers in Computational Mechanics. Recurrent topics in Fang Li’s work include Image and Signal Denoising Methods (45 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (21 papers). Fang Li is often cited by papers focused on Image and Signal Denoising Methods (45 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (21 papers). Fang Li collaborates with scholars based in China, United States and Hong Kong. Fang Li's co-authors include Guixu Zhang, Faming Fang, Michael K. Ng, Chaomin Shen and Xiao-Guang Lv and has published in prestigious journals such as Physical Review Letters, Environmental Science & Technology and The FASEB Journal.
In The Last Decade
Fields of papers citing papers by Fang Li
Since SpecializationEngineeringComputer 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 Fang Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Li may publish in the future.
Countries citing papers authored by Fang Li
Since SpecializationCitations
This map shows the geographic impact of Fang 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 Fang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Li more than expected).
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