Yuan-Hsiang Chang

About

Yuan-Hsiang Chang is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuan-Hsiang Chang has authored 10 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuan-Hsiang Chang’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gene expression and cancer classification (2 papers). Yuan-Hsiang Chang is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gene expression and cancer classification (2 papers). Yuan-Hsiang Chang collaborates with scholars based in United States, Taiwan and Japan. Yuan-Hsiang Chang's co-authors include Bin Zheng, David Gur, Tai-huang Huang, Chung‐ke Chang, Chin‐Kun Hu, Yu‐Shan Huang, Fa-An Chao, Walter F. Good, Teppei Ikeya and Peter Güntert and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Investigative Radiology.

In The Last Decade

Co-authorship network of co-authors of Yuan-Hsiang Chang i

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Fields of papers citing papers by Yuan-Hsiang Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuan-Hsiang Chang

Since Specialization

Citations

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