Pan Gao

About

Pan Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Pan Gao has authored 45 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 11 papers in Computational Mechanics. Recurrent topics in Pan Gao’s work include Advanced Vision and Imaging (15 papers), Video Coding and Compression Technologies (14 papers) and Advanced Image Processing Techniques (10 papers). Pan Gao is often cited by papers focused on Advanced Vision and Imaging (15 papers), Video Coding and Compression Technologies (14 papers) and Advanced Image Processing Techniques (10 papers). Pan Gao collaborates with scholars based in China, Australia and Ireland. Pan Gao's co-authors include Aljoša Smolić, Qiang Peng, Wei Xiang, Cagri Ozcinar and Jie Qin and has published in prestigious journals such as Langmuir, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Fields of papers citing papers by Pan Gao

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

Countries citing papers authored by Pan Gao

Since Specialization

Citations

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

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