Kai Fang

About

Kai Fang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kai Fang has authored 50 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Kai Fang’s work include Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). Kai Fang is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). Kai Fang collaborates with scholars based in China, Macao and United Kingdom. Kai Fang's co-authors include Jianguo Guan, Huiru Ma, Wei Luo, Qian Cui, Ke Chen, Tingting Wang, Jianqing Li, Fangzhi Mou, Wei Li and Wei Wei and has published in prestigious journals such as Nano Letters, Physical Review B and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Kai Fang i

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Fields of papers citing papers by Kai Fang

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

Countries citing papers authored by Kai Fang

Since Specialization

Citations

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

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