Tai-Peng Tian

About

Tai-Peng Tian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tai-Peng Tian has authored 8 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Tai-Peng Tian’s work include Human Pose and Action Recognition (4 papers), Language, Metaphor, and Cognition (1 paper) and Time Series Analysis and Forecasting (1 paper). Tai-Peng Tian is often cited by papers focused on Human Pose and Action Recognition (4 papers), Language, Metaphor, and Cognition (1 paper) and Time Series Analysis and Forecasting (1 paper). Tai-Peng Tian collaborates with scholars based in United States. Tai-Peng Tian's co-authors include Stan Sclaroff, Rui Li, Ming–Hsuan Yang, Rui Li, Heang‐Ping Chan, Peter Tu, Rui Li, John Magee, Margrit Betke and Ning Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Procedia Manufacturing.

In The Last Decade

Co-authorship network of co-authors of Tai-Peng Tian i

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Fields of papers citing papers by Tai-Peng Tian

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

Countries citing papers authored by Tai-Peng Tian

Since Specialization

Citations

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

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