Jun Huan

35 papers and 349 indexed citations i.

About

Jun Huan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jun Huan has authored 35 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Jun Huan’s work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Jun Huan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Jun Huan collaborates with scholars based in United States, China and Macao. Jun Huan's co-authors include Haoyi Xiong, Brian Quanz, Tianyang Wang, Jeffrey Scott Vitter, Dejing Dou, Hongwei Huo, Jie An, Jiebo Luo, Michelle Zhu and Xiaoyang Chen and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Jun Huan i

Fields of papers citing papers by Jun Huan

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

Countries citing papers authored by Jun Huan

Since Specialization
Citations

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

Rankless by CCL
2025