Kai Hu

159 papers and 1.4k indexed citations i.

About

Kai Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Kai Hu has authored 159 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 45 papers in Artificial Intelligence and 25 papers in Media Technology. Recurrent topics in Kai Hu’s work include Remote-Sensing Image Classification (18 papers), Advanced Image Fusion Techniques (13 papers) and Human Pose and Action Recognition (13 papers). Kai Hu is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Advanced Image Fusion Techniques (13 papers) and Human Pose and Action Recognition (13 papers). Kai Hu collaborates with scholars based in China, France and United States. Kai Hu's co-authors include Min Xia, Liguo Weng, Haifeng Lin, Liguo Weng and Dianfu Ma and has published in prestigious journals such as PLoS ONE, Oncogene and Journal of Hazardous Materials.

In The Last Decade

Fields of papers citing papers by Kai Hu

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

Countries citing papers authored by Kai Hu

Since Specialization

Citations

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

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