Tsu-Jui Fu
About
Tsu-Jui Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology.
According to data from OpenAlex, Tsu-Jui Fu has authored 14 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Tsu-Jui Fu’s work include Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (4 papers). Tsu-Jui Fu is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (4 papers). Tsu-Jui Fu collaborates with scholars based in United States, Taiwan and United Kingdom. Tsu-Jui Fu's co-authors include William Yang Wang, Wei-Yun Ma, Peng-Hsuan Li, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, An Yan, Linjie Li, Sugato Basu and Yale Song and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
In The Last Decade
Co-authorship network of co-authors of Tsu-Jui Fu i
Fields of papers citing papers by Tsu-Jui Fu
Since SpecializationEngineeringComputer 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 Tsu-Jui Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tsu-Jui Fu may publish in the future.
Countries citing papers authored by Tsu-Jui Fu
Since SpecializationCitations
This map shows the geographic impact of Tsu-Jui Fu'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 Tsu-Jui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsu-Jui Fu more than expected).
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