Ray Jiang

About

Ray Jiang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Safety Research. According to data from OpenAlex, Ray Jiang has authored 8 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 2 papers in Safety Research. Recurrent topics in Ray Jiang’s work include Reinforcement Learning in Robotics (2 papers), Ethics and Social Impacts of AI (2 papers) and Privacy-Preserving Technologies in Data (1 paper). Ray Jiang is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Ethics and Social Impacts of AI (2 papers) and Privacy-Preserving Technologies in Data (1 paper). Ray Jiang collaborates with scholars based in United States, United Kingdom and Australia. Ray Jiang's co-authors include Dani Yogatama, Robert Stanforth, Po-Sen Huang, Pushmeet Kohli, Johannes Welbl, Huan Zhang, Jack W. Rae, Tom Stepleton, Aldo Pacchiano and Heinrich Jiang and has published in prestigious journals such as Frontiers in Pharmacology, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Ray Jiang i

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Fields of papers citing papers by Ray Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ray Jiang

Since Specialization

Citations

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