Dan Tu

About

Dan Tu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Tu has authored 23 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Tu’s work include Digital Media Forensic Detection (4 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Dan Tu is often cited by papers focused on Digital Media Forensic Detection (4 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Dan Tu collaborates with scholars based in China. Dan Tu's co-authors include Jun Lei, Guohui Li, Qiong Wu and Guohui Li and has published in prestigious journals such as Neurocomputing, Neural Computing and Applications and Frontiers in Medicine.

In The Last Decade

Fields of papers citing papers by Dan Tu

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

Countries citing papers authored by Dan Tu

Since Specialization

Citations

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

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