Ke Gu
About
Ke Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence.
According to data from OpenAlex, Ke Gu has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Ke Gu’s work include Image and Video Quality Assessment (19 papers), Image Enhancement Techniques (12 papers) and Visual Attention and Saliency Detection (12 papers). Ke Gu is often cited by papers focused on Image and Video Quality Assessment (19 papers), Image Enhancement Techniques (12 papers) and Visual Attention and Saliency Detection (12 papers). Ke Gu collaborates with scholars based in China, Singapore and United Kingdom. Ke Gu's co-authors include Guangtao Zhai, Weisi Lin, Junfei Qiao, Xiaokang Yang and Hantao Liu and has published in prestigious journals such as Journal of Colloid and Interface Science, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.
In The Last Decade
Fields of papers citing papers by Ke Gu
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 Ke Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Gu may publish in the future.
Countries citing papers authored by Ke Gu
Since SpecializationCitations
This map shows the geographic impact of Ke Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Gu more than expected).
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