Hui Fan
About
Hui Fan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience.
According to data from OpenAlex, Hui Fan has authored 55 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 24 papers in Media Technology and 9 papers in Cognitive Neuroscience. Recurrent topics in Hui Fan’s work include Advanced Image Fusion Techniques (19 papers), Image and Signal Denoising Methods (15 papers) and Image Enhancement Techniques (11 papers). Hui Fan is often cited by papers focused on Advanced Image Fusion Techniques (19 papers), Image and Signal Denoising Methods (15 papers) and Image Enhancement Techniques (11 papers). Hui Fan collaborates with scholars based in China, Singapore and United Kingdom. Hui Fan's co-authors include Jinjiang Li, Zhenhua Yu, Haixian Wang, Linwei Fan and Zhanli Li and has published in prestigious journals such as Nature, Neuroscience and IEEE Transactions on Geoscience and Remote Sensing.
In The Last Decade
Fields of papers citing papers by Hui Fan
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 Hui Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hui Fan may publish in the future.
Countries citing papers authored by Hui Fan
Since SpecializationCitations
This map shows the geographic impact of Hui Fan'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 Hui Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Fan more than expected).
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