Kun Fu
About
Kun Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering.
According to data from OpenAlex, Kun Fu has authored 244 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Computer Vision and Pattern Recognition, 78 papers in Media Technology and 56 papers in Aerospace Engineering. Recurrent topics in Kun Fu’s work include Advanced Image and Video Retrieval Techniques (79 papers), Advanced Neural Network Applications (67 papers) and Remote-Sensing Image Classification (65 papers). Kun Fu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (79 papers), Advanced Neural Network Applications (67 papers) and Remote-Sensing Image Classification (65 papers). Kun Fu collaborates with scholars based in China, United States and Germany. Kun Fu's co-authors include Xian Sun, Wenhui Diao, Hongqi Wang, Hao Sun and Menglong Yan and has published in prestigious journals such as Nature Communications, Scientific Reports and ACS Applied Materials & Interfaces.
In The Last Decade
Fields of papers citing papers by Kun Fu
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 Kun Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Fu may publish in the future.
Countries citing papers authored by Kun Fu
Since SpecializationCitations
This map shows the geographic impact of Kun Fu'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 Kun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).
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