Chao-Kai Chiang

4 papers and 18 indexed citations i.

About

Chao-Kai Chiang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Chao-Kai Chiang has authored 4 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 1 paper in Computational Theory and Mathematics. Recurrent topics in Chao-Kai Chiang’s work include Advanced Bandit Algorithms Research (4 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Algorithms (2 papers). Chao-Kai Chiang is often cited by papers focused on Advanced Bandit Algorithms Research (4 papers), Reinforcement Learning in Robotics (3 papers) and Machine Learning and Algorithms (2 papers). Chao-Kai Chiang collaborates with scholars based in Pakistan, Taiwan and United States. Chao-Kai Chiang's co-authors include Peter Auer, Fei Sha, Chi-Jen Lu and Hsuan-Tien Lin and has published in prestigious journals such as arXiv (Cornell University), Conference on Learning Theory and Asian Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Chao-Kai Chiang i

Fields of papers citing papers by Chao-Kai Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao-Kai Chiang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025