Chun‐Chen Tu
About
Chun‐Chen Tu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Chun‐Chen Tu has authored 7 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chun‐Chen Tu’s work include Adversarial Robustness in Machine Learning (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and COVID-19 diagnosis using AI (1 paper). Chun‐Chen Tu is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and COVID-19 diagnosis using AI (1 paper). Chun‐Chen Tu collaborates with scholars based in United States, Taiwan and France. Chun‐Chen Tu's co-authors include Pin‐Yu Chen, Paishun Ting, Jinfeng Yi, Sijia Liu, Huan Zhang, Shin‐Ming Cheng, Cho‐Jui Hsieh, Ronny Luss, Amit Dhurandhar and Karthikeyan Shanmugam and has published in prestigious journals such as IEEE Access, Journal of the Royal Statistical Society Series C (Applied Statistics) and IEEE Transactions on Signal and Information Processing over Networks.
In The Last Decade
Co-authorship network of co-authors of Chun‐Chen Tu i
Fields of papers citing papers by Chun‐Chen Tu
Since SpecializationEngineeringComputer 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 Chun‐Chen Tu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chun‐Chen Tu may publish in the future.
Countries citing papers authored by Chun‐Chen Tu
Since SpecializationCitations
This map shows the geographic impact of Chun‐Chen 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 Chun‐Chen Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Chen Tu more than expected).
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