Kun Xu

19 papers and 350 indexed citations i.

About

Kun Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Kun Xu has authored 19 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Kun Xu’s work include Natural Language Processing Techniques (17 papers), Topic Modeling (17 papers) and Speech and dialogue systems (7 papers). Kun Xu is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (17 papers) and Speech and dialogue systems (7 papers). Kun Xu collaborates with scholars based in China, United States and Hong Kong. Kun Xu's co-authors include Yansong Feng, Dongyan Zhao, Songfang Huang, Lingfei Wu, Dong Yu, Linfeng Song, Vadim Sheinin, Zhiguo Wang, Linqi Song and Avinash Balakrishnan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE/ACM Transactions on Audio Speech and Language Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Kun Xu i

Fields of papers citing papers by Kun Xu

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

Countries citing papers authored by Kun Xu

Since Specialization
Citations

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

Rankless by CCL
2025