Xun Gong

About

Xun Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Xun Gong has authored 52 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Xun Gong’s work include Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and AI in cancer detection (8 papers). Xun Gong is often cited by papers focused on Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and AI in cancer detection (8 papers). Xun Gong collaborates with scholars based in China, United States and Taiwan. Xun Gong's co-authors include Tianrui Li, Shi‐Jinn Horng, Shengdong Du and Shaojie Qiao and has published in prestigious journals such as IEEE Access, Neurocomputing and Materials Letters.

In The Last Decade

Fields of papers citing papers by Xun Gong

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

Countries citing papers authored by Xun Gong

Since Specialization

Citations

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

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