Yun-En Liu

20 papers and 316 indexed citations i.

About

Yun-En Liu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Developmental and Educational Psychology. According to data from OpenAlex, Yun-En Liu has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 4 papers in Developmental and Educational Psychology. Recurrent topics in Yun-En Liu’s work include Reinforcement Learning in Robotics (5 papers), Advanced Bandit Algorithms Research (4 papers) and Educational Games and Gamification (4 papers). Yun-En Liu is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Advanced Bandit Algorithms Research (4 papers) and Educational Games and Gamification (4 papers). Yun-En Liu collaborates with scholars based in United States, China and Canada. Yun-En Liu's co-authors include Zoran Popović, Travis Mandel, Emma Brunskill, Erik Andersen, Seth Cooper, Eleanor O’Rourke, Mingxiao Hou, Sergey Levine, Anna R. Karlin and Seong Jae Lee and has published in prestigious journals such as PLoS ONE, Neuroscience Letters and International Immunopharmacology.

In The Last Decade

Co-authorship network of co-authors of Yun-En Liu i

Fields of papers citing papers by Yun-En Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-En Liu. 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 Yun-En Liu. The network helps show where Yun-En Liu may publish in the future.

Countries citing papers authored by Yun-En Liu

Since Specialization
Citations

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