Song Gao

About

Song Gao is a scholar working on Oceanography, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Song Gao has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 17 papers in Electrical and Electronic Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Song Gao’s work include Advanced Image and Video Retrieval Techniques (9 papers), Handwritten Text Recognition Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Song Gao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Handwritten Text Recognition Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Song Gao collaborates with scholars based in China, United States and United Kingdom. Song Gao's co-authors include Baihua Xiao, Chunheng Wang, Cunzhao Shi, Yang Zhang, Peimin He, Jianheng Zhang, Zhong Zhang, Guiyan Liu, Yuanzi Huo and Zhaosheng Yang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Song Gao i

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

Countries citing papers authored by Song Gao

Since Specialization

Citations

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

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