Kai-Fu Yang

About

Kai-Fu Yang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kai-Fu Yang has authored 46 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Cognitive Neuroscience and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kai-Fu Yang’s work include Visual Attention and Saliency Detection (15 papers), Image Enhancement Techniques (13 papers) and Visual perception and processing mechanisms (10 papers). Kai-Fu Yang is often cited by papers focused on Visual Attention and Saliency Detection (15 papers), Image Enhancement Techniques (13 papers) and Visual perception and processing mechanisms (10 papers). Kai-Fu Yang collaborates with scholars based in China, Hong Kong and United States. Kai-Fu Yang's co-authors include Yongjie Li, Chaoyi Li, Shaobing Gao, Hongmei Yan, Chaoyi Li, Xian-Shi Zhang, Yubo Tan, Tao Deng, Hulin Kuang and Yuhong Liu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Kai-Fu Yang i

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Fields of papers citing papers by Kai-Fu Yang

Since Specialization

EngineeringComputer 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 Kai-Fu Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai-Fu Yang may publish in the future.

Countries citing papers authored by Kai-Fu Yang

Since Specialization

Citations

This map shows the geographic impact of Kai-Fu 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 Kai-Fu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Fu Yang more than expected).

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