Quan Tran
About
Quan Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing.
According to data from OpenAlex, Quan Tran has authored 9 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Quan Tran’s work include Multimodal Machine Learning Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Quan Tran is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Quan Tran collaborates with scholars based in United States and Germany. Quan Tran's co-authors include Zhe Lin, Kushal Kafle, Alan Yuille, Scott Cohen, Abhinav Shrivastava, Long Mai, Franck Dernoncourt, Benjamin Van Durme, Yixiao Zhang and Joydeep Mitra and has published in prestigious journals such as Electric Power Systems Research, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
In The Last Decade
Co-authorship network of co-authors of Quan Tran i
Fields of papers citing papers by Quan Tran
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 Quan Tran. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Quan Tran may publish in the future.
Countries citing papers authored by Quan Tran
Since SpecializationCitations
This map shows the geographic impact of Quan Tran'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 Quan Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Tran more than expected).
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