Feng-hsiung Hsu

17 papers and 824 indexed citations i.

About

Feng-hsiung Hsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Feng-hsiung Hsu has authored 17 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Economics and Econometrics. Recurrent topics in Feng-hsiung Hsu’s work include Artificial Intelligence in Games (8 papers), Sports Analytics and Performance (5 papers) and Algorithms and Data Compression (4 papers). Feng-hsiung Hsu is often cited by papers focused on Artificial Intelligence in Games (8 papers), Sports Analytics and Performance (5 papers) and Algorithms and Data Compression (4 papers). Feng-hsiung Hsu collaborates with scholars based in United States, China and Canada. Feng-hsiung Hsu's co-authors include Murray Campbell, Thomas Anantharaman, Andreas Nowatzyk, Ningyi Xu, Jing Yan, Yu Wang, Wenqiang Wang, Lei Zhang, T.A. Marsland and Robert Levinson and has published in prestigious journals such as Artificial Intelligence, Scientific American and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Co-authorship network of co-authors of Feng-hsiung Hsu i

Fields of papers citing papers by Feng-hsiung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng-hsiung Hsu

Since Specialization
Citations

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