Quan Vuong

5 papers and 17 indexed citations i.

About

Quan Vuong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Quan Vuong has authored 5 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Quan Vuong’s work include Reinforcement Learning in Robotics (3 papers), Advanced Neural Network Applications (1 paper) and Robot Manipulation and Learning (1 paper). Quan Vuong is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Advanced Neural Network Applications (1 paper) and Robot Manipulation and Learning (1 paper). Quan Vuong collaborates with scholars based in United States and United Arab Emirates. Quan Vuong's co-authors include Kamil Ciosek, Robert Loftin, Katja Hofmann, Yiming Zhang, Keith W. Ross, Yiming Zhang, Hao Su, Avinava Dubey, Vikas Sindhwani and Yuzhe Qin and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

In The Last Decade

Co-authorship network of co-authors of Quan Vuong i

Fields of papers citing papers by Quan Vuong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan Vuong. 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 Quan Vuong. The network helps show where Quan Vuong may publish in the future.

Countries citing papers authored by Quan Vuong

Since Specialization
Citations

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