Yu Shi

80 papers and 772 indexed citations i.

About

Yu Shi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Yu Shi has authored 80 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atomic and Molecular Physics, and Optics, 23 papers in Artificial Intelligence and 13 papers in Condensed Matter Physics. Recurrent topics in Yu Shi’s work include Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (20 papers) and Cold Atom Physics and Bose-Einstein Condensates (18 papers). Yu Shi is often cited by papers focused on Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (20 papers) and Cold Atom Physics and Bose-Einstein Condensates (18 papers). Yu Shi collaborates with scholars based in China, United Kingdom and United States. Yu Shi's co-authors include Thomas Duke, Qian Niu, Andrea L. Eisfeldt, G. S. Dong, Dong‐Jin Qian, Chang-De Gong, Xiaofeng Jin, Li Ge, Di Wu and Yizheng Wu and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of Yu Shi i

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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