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

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Fields of papers citing papers by Chun‐Chen Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Chen Tu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chun‐Chen Tu. The network helps show where Chun‐Chen Tu may publish in the future.

Countries citing papers authored by Chun‐Chen Tu

Since Specialization

Citations

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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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