Chao-Chun Hsu

16 papers and 209 indexed citations i.

About

Chao-Chun Hsu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Chao-Chun Hsu has authored 16 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Chao-Chun Hsu’s work include Multimodal Machine Learning Applications (3 papers), Topic Modeling (3 papers) and Sperm and Testicular Function (2 papers). Chao-Chun Hsu is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Topic Modeling (3 papers) and Sperm and Testicular Function (2 papers). Chao-Chun Hsu collaborates with scholars based in Taiwan, United States and Switzerland. Chao-Chun Hsu's co-authors include Jyh‐Myng Zen, Dong‐Mung Tsai, Annamalai Senthil Kumar, Cheng‐Hung Huang, Chenhao Tan, Alessandro Moschitti, Luca Soldaini, J. Hwang, Jacqueline Whang‐Peng and Tsung-Han Yang and has published in prestigious journals such as Applied Microbiology and Biotechnology, Molecules and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Chao-Chun Hsu i

Fields of papers citing papers by Chao-Chun Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao-Chun Hsu

Since Specialization
Citations

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