Ke Hu

About

Ke Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Ke Hu has authored 17 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Global and Planetary Change. Recurrent topics in Ke Hu’s work include Image Enhancement Techniques (3 papers), Topic Modeling (2 papers) and Advanced Image Processing Techniques (2 papers). Ke Hu is often cited by papers focused on Image Enhancement Techniques (3 papers), Topic Modeling (2 papers) and Advanced Image Processing Techniques (2 papers). Ke Hu collaborates with scholars based in China, United States and Macao. Ke Hu's co-authors include Miao Yang, Yuwang Xu, Zhiqiang Wei, Qian Zhong and Trevor Strohman and has published in prestigious journals such as Nature Communications, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Fields of papers citing papers by Ke 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 Ke Hu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Hu may publish in the future.

Countries citing papers authored by Ke Hu

Since Specialization

Citations

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

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