Fang Yang
About
Fang Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering.
According to data from OpenAlex, Fang Yang has authored 56 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Fang Yang’s work include Handwritten Text Recognition Techniques (9 papers), Human Pose and Action Recognition (4 papers) and Image Retrieval and Classification Techniques (3 papers). Fang Yang is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Human Pose and Action Recognition (4 papers) and Image Retrieval and Classification Techniques (3 papers). Fang Yang collaborates with scholars based in China, United States and Taiwan. Fang Yang's co-authors include Anatol G. Feldman, Xianqing Tian, Hongkai Wang, Di Zang, Yun Wang, Guifa Teng, Yang Chen, Peng Xiong, Kai Zhang and Shancang Li and has published in prestigious journals such as Scientific Reports, Experimental Brain Research and IEEE Transactions on Medical Imaging.
In The Last Decade
Co-authorship network of co-authors of Fang Yang i
Fields of papers citing papers by Fang Yang
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 Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Yang may publish in the future.
Countries citing papers authored by Fang Yang
Since SpecializationCitations
This map shows the geographic impact of Fang Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yang more than expected).
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