Shangling Jui

18 papers and 450 indexed citations i.

About

Shangling Jui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shangling Jui has authored 18 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Shangling Jui’s work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (4 papers). Shangling Jui is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (4 papers). Shangling Jui collaborates with scholars based in China, Spain and Canada. Shangling Jui's co-authors include Luis Herranz, Joost van de Weijer, Mohammad Salameh, Xialei Liu and Di Niu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Fields of papers citing papers by Shangling Jui

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

Countries citing papers authored by Shangling Jui

Since Specialization
Citations

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

Rankless by CCL
2025