Xun Yang

96 papers and 1.4k indexed citations i.

About

Xun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xun Yang has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Xun Yang’s work include Human Pose and Action Recognition (19 papers), Multimodal Machine Learning Applications (19 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Xun Yang is often cited by papers focused on Human Pose and Action Recognition (19 papers), Multimodal Machine Learning Applications (19 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Xun Yang collaborates with scholars based in China, Singapore and Australia. Xun Yang's co-authors include Meng Wang, Tat‐Seng Chua, Dacheng Tao, Jianfeng Dong, Xun Wang, Peicheng Zhou, Yong Rui, Richang Hong, Fuli Feng and Wei Ji and has published in prestigious journals such as Physical Review Letters, Advanced Materials and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Xun Yang i

Fields of papers citing papers by Xun Yang

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

Countries citing papers authored by Xun Yang

Since Specialization
Citations

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

Rankless by CCL
2025