Jun-Ting Hsieh

7 papers and 304 indexed citations i.

About

Jun-Ting Hsieh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun-Ting Hsieh has authored 7 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun-Ting Hsieh’s work include Machine Learning and Algorithms (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Numerical Methods in Computational Mathematics (1 paper). Jun-Ting Hsieh is often cited by papers focused on Machine Learning and Algorithms (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Numerical Methods in Computational Mathematics (1 paper). Jun-Ting Hsieh collaborates with scholars based in United States, Germany and Taiwan. Jun-Ting Hsieh's co-authors include Wen Chao, Jim J. Lin, Chun-Hung Chang, Juan Carlos Niebles, De-An Huang, Bingbin Liu, Li Fei-Fei, Lucia Mirabella, Shengjia Zhao and Stephan Eismann and has published in prestigious journals such as Science, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Jun-Ting Hsieh i

Fields of papers citing papers by Jun-Ting Hsieh

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

Countries citing papers authored by Jun-Ting Hsieh

Since Specialization
Citations

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

Rankless by CCL
2025