Jun Tao

About

Jun Tao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Jun Tao has authored 45 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 9 papers in Artificial Intelligence. Recurrent topics in Jun Tao’s work include Data Visualization and Analytics (13 papers), Computer Graphics and Visualization Techniques (12 papers) and Video Analysis and Summarization (6 papers). Jun Tao is often cited by papers focused on Data Visualization and Analytics (13 papers), Computer Graphics and Visualization Techniques (12 papers) and Video Analysis and Summarization (6 papers). Jun Tao collaborates with scholars based in United States, China and Hong Kong. Jun Tao's co-authors include Chaoli Wang, Jun Han, Ching-Kuang Shene, Jun Ma, Nitesh V. Chawla, Chao Huang, Hanqi Guo, M. H. Thiemens, Mang Lin and Hao Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Jun Tao i

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Fields of papers citing papers by Jun Tao

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

Countries citing papers authored by Jun Tao

Since Specialization

Citations

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

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