Kaiming Fu
About
Kaiming Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering.
According to data from OpenAlex, Kaiming Fu has authored 19 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kaiming Fu’s work include Neural Networks and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Tree Root and Stability Studies (2 papers). Kaiming Fu is often cited by papers focused on Neural Networks and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Tree Root and Stability Studies (2 papers). Kaiming Fu collaborates with scholars based in United States and China. Kaiming Fu's co-authors include D. A. Landgrebe, T. L. Phillips, G.N. Saridis, J.A.B. Fortes, Benjamin W. Wah, Brian N. Bailey, E. Persoon, Hongjie Jiang, Weikai He and Stavros Vougioukas and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Sensors.
In The Last Decade
Co-authorship network of co-authors of Kaiming Fu i
Fields of papers citing papers by Kaiming 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 Kaiming Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kaiming Fu may publish in the future.
Countries citing papers authored by Kaiming Fu
Since SpecializationCitations
This map shows the geographic impact of Kaiming 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 Kaiming Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiming Fu more than expected).
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