Fan Fan
About
Fan Fan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering.
According to data from OpenAlex, Fan Fan has authored 118 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Media Technology, 51 papers in Computer Vision and Pattern Recognition and 24 papers in Aerospace Engineering. Recurrent topics in Fan Fan’s work include Advanced Image Fusion Techniques (41 papers), Remote-Sensing Image Classification (26 papers) and Infrared Target Detection Methodologies (19 papers). Fan Fan is often cited by papers focused on Advanced Image Fusion Techniques (41 papers), Remote-Sensing Image Classification (26 papers) and Infrared Target Detection Methodologies (19 papers). Fan Fan collaborates with scholars based in China, United States and Hong Kong. Fan Fan's co-authors include Jun Huang, Yong Ma, Xiaoguang Mei, Jiayi Ma and Erting Pan and has published in prestigious journals such as Nature Communications, Nano Letters and Energy & Environmental Science.
In The Last Decade
Fields of papers citing papers by Fan 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 Fan Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fan Fan may publish in the future.
Countries citing papers authored by Fan Fan
Since SpecializationCitations
This map shows the geographic impact of Fan 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 Fan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Fan more than expected).
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