Kun Fu
About
Kun Fu is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Computer Networks and Communications.
According to data from OpenAlex, Kun Fu has authored 11 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Sociology and Political Science and 2 papers in Computer Networks and Communications. Recurrent topics in Kun Fu’s work include Multimodal Machine Learning Applications (3 papers), Video Analysis and Summarization (2 papers) and Peer-to-Peer Network Technologies (2 papers). Kun Fu is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Video Analysis and Summarization (2 papers) and Peer-to-Peer Network Technologies (2 papers). Kun Fu collaborates with scholars based in United States, China and Germany. Kun Fu's co-authors include Changshui Zhang, Junqi Jin, Runpeng Cui, Fei Sha, Jin Li, Chaoying Ni, R. D. Vispute, Chunyan Zhang, Zheng Wang and Kailun Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Science and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Co-authorship network of co-authors of Kun Fu i
Fields of papers citing papers by Kun Fu
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 Kun Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Fu may publish in the future.
Countries citing papers authored by Kun Fu
Since SpecializationCitations
This map shows the geographic impact of Kun Fu'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 Kun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).
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