Aurick Zhou

6 papers and 165 indexed citations i.

About

Aurick Zhou is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Aurick Zhou has authored 6 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Biomedical Engineering. Recurrent topics in Aurick Zhou’s work include Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Prosthetics and Rehabilitation Robotics (1 paper). Aurick Zhou is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (2 papers) and Prosthetics and Rehabilitation Robotics (1 paper). Aurick Zhou collaborates with scholars based in United States. Aurick Zhou's co-authors include Sergey Levine, Tuomas Haarnoja, Pieter Abbeel, Deirdre Quillen, Kate Rakelly, Chelsea Finn, George Tucker, Sehoon Ha, Jie Tan and Aviral Kumar and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Aurick Zhou i

Fields of papers citing papers by Aurick Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurick Zhou

Since Specialization
Citations

This map shows the geographic impact of Aurick Zhou'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 Aurick Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurick Zhou 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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2026