Ke Tran

9 papers and 179 indexed citations i.

About

Ke Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Ke Tran has authored 9 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Ke Tran’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Ke Tran is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Ke Tran collaborates with scholars based in The Netherlands, United States and Germany. Ke Tran's co-authors include Arianna Bisazza, Christof Monz, Yonatan Bisk, Chris Brockett, Kristina Toutanova, Saleema Amershi, Daniel Marcu, Kevin Knight, Ashish Vaswani and Ming Tan and has published in prestigious journals such as Wiardi Beckman Foundation (Wiardi Beckman Foundation), University of Groningen research database (University of Groningen / Centre for Information Technology) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ke Tran i

Fields of papers citing papers by Ke Tran

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

Countries citing papers authored by Ke Tran

Since Specialization
Citations

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

Rankless by CCL
2025