Tri Dao

10 papers and 45 indexed citations i.

About

Tri Dao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Tri Dao has authored 10 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Tri Dao’s work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Tri Dao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Tri Dao collaborates with scholars based in United States and Denmark. Tri Dao's co-authors include Atri Rudra, Christopher Ré, Albert Gu, Christopher Ré, Beidi Chen, Zhao Song, Jian Zhang, Anna Thomas, Volodymyr Kuleshov and Jian Zhang and has published in prestigious journals such as PubMed, arXiv (Cornell University) and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Tri Dao i

Fields of papers citing papers by Tri Dao

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

Countries citing papers authored by Tri Dao

Since Specialization
Citations

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

Rankless by CCL
2025