Yen-Chang Hsu

About

Yen-Chang Hsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yen-Chang Hsu has authored 11 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yen-Chang Hsu’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and COVID-19 diagnosis using AI (2 papers). Yen-Chang Hsu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and COVID-19 diagnosis using AI (2 papers). Yen-Chang Hsu collaborates with scholars based in United States, United Kingdom and Japan. Yen-Chang Hsu's co-authors include Zsolt Kira, James Smith, Yilin Shen, Hongxia Jin, Zhaoyang Lv, Avik Ray, Zheng Xu, Ting Hua, Shangqian Gao and Minchul Kim and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Yen-Chang Hsu i

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Fields of papers citing papers by Yen-Chang Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Chang Hsu. 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 Yen-Chang Hsu. The network helps show where Yen-Chang Hsu may publish in the future.

Countries citing papers authored by Yen-Chang Hsu

Since Specialization

Citations

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