Yingxia Shao
About
Yingxia Shao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications.
According to data from OpenAlex, Yingxia Shao has authored 56 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Yingxia Shao’s work include Advanced Graph Neural Networks (22 papers), Graph Theory and Algorithms (12 papers) and Topic Modeling (9 papers). Yingxia Shao is often cited by papers focused on Advanced Graph Neural Networks (22 papers), Graph Theory and Algorithms (12 papers) and Topic Modeling (9 papers). Yingxia Shao collaborates with scholars based in China, Hong Kong and Switzerland. Yingxia Shao's co-authors include Bin Cui, Jiawei Jiang, Lei Chen, Shitao Xiao and Xupeng Miao and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Neurocomputing.
In The Last Decade
Fields of papers citing papers by Yingxia Shao
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 Yingxia Shao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yingxia Shao may publish in the future.
Countries citing papers authored by Yingxia Shao
Since SpecializationCitations
This map shows the geographic impact of Yingxia Shao'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 Yingxia Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxia Shao more than expected).
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