Ching-Yao Chuang

6 papers and 150 indexed citations i.

About

Ching-Yao Chuang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Ching-Yao Chuang has authored 6 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Ching-Yao Chuang’s work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (2 papers). Ching-Yao Chuang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (2 papers). Ching-Yao Chuang collaborates with scholars based in United States, United Kingdom and Taiwan. Ching-Yao Chuang's co-authors include Juan Carlos Niebles, Yuan-Hong Liao, Kuo-Hao Zeng, Tseng-Hung Chen, Min Sun, Stefanie Jegelka, Suvrit Sra, Joshua Robinson, Antonio Torralba and Xin Wang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Ching-Yao Chuang i

Fields of papers citing papers by Ching-Yao Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Yao Chuang. 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 Ching-Yao Chuang. The network helps show where Ching-Yao Chuang may publish in the future.

Countries citing papers authored by Ching-Yao Chuang

Since Specialization
Citations

This map shows the geographic impact of Ching-Yao Chuang'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 Ching-Yao Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Yao Chuang 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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2025