Ruoxi Song

About

Ruoxi Song is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Ruoxi Song has authored 27 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Media Technology, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Atmospheric Science. Recurrent topics in Ruoxi Song’s work include Remote-Sensing Image Classification (21 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (13 papers). Ruoxi Song is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (13 papers). Ruoxi Song collaborates with scholars based in China. Ruoxi Song's co-authors include Xianghai Wang, Chuanming Song, Changping Huang, Lifu Zhang and Qingxi Tong and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Information Sciences.

In The Last Decade

Fields of papers citing papers by Ruoxi Song

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

Countries citing papers authored by Ruoxi Song

Since Specialization

Citations

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

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