Xun Liang

About

Xun Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Xun Liang has authored 82 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Xun Liang’s work include Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (17 papers) and Face and Expression Recognition (12 papers). Xun Liang is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (17 papers) and Face and Expression Recognition (12 papers). Xun Liang collaborates with scholars based in China, Taiwan and United States. Xun Liang's co-authors include Xiaoping Zhou, Yuefeng Ma, Jichao Zhao and Haiyan Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Statistics in Medicine.

In The Last Decade

Fields of papers citing papers by Xun Liang

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

Countries citing papers authored by Xun Liang

Since Specialization

Citations

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

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