Shao Xiang

About

Shao Xiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Shao Xiang has authored 34 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Shao Xiang’s work include Remote-Sensing Image Classification (8 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Data Compression Techniques (4 papers). Shao Xiang is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Data Compression Techniques (4 papers). Shao Xiang collaborates with scholars based in China, Canada and Germany. Shao Xiang's co-authors include Qiaokang Liang, Peng Tang, Dan Zhang, Zhiqi Zhang and Mi Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Shao Xiang

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

Countries citing papers authored by Shao Xiang

Since Specialization

Citations

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

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