Xiaofan Feng
About
Xiaofan Feng is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering.
According to data from OpenAlex, Xiaofan Feng has authored 51 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 20 papers in Atomic and Molecular Physics, and Optics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaofan Feng’s work include Color Science and Applications (20 papers), Image and Video Quality Assessment (9 papers) and Industrial Vision Systems and Defect Detection (8 papers). Xiaofan Feng is often cited by papers focused on Color Science and Applications (20 papers), Image and Video Quality Assessment (9 papers) and Industrial Vision Systems and Defect Detection (8 papers). Xiaofan Feng collaborates with scholars based in China, United States and United Kingdom. Xiaofan Feng's co-authors include Scott Daly, Hao Pan, Ibrahim Sezan, Xiaohua Zhao, Jia An, Chee Kai Chua, John R. Schott, Yong Liu, Yue Zhao and Joanne Ee Mei Teoh and has published in prestigious journals such as ACS Nano, Hepatology and Proceedings of the IEEE.
In The Last Decade
Co-authorship network of co-authors of Xiaofan Feng i
Fields of papers citing papers by Xiaofan Feng
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 Xiaofan Feng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaofan Feng may publish in the future.
Countries citing papers authored by Xiaofan Feng
Since SpecializationCitations
This map shows the geographic impact of Xiaofan Feng'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 Xiaofan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Feng more than expected).
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