Yaoyun Shi

3.5k total citations
42 papers, 1.4k citations indexed

About

Yaoyun Shi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Yaoyun Shi has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Atomic and Molecular Physics, and Optics and 14 papers in Computational Theory and Mathematics. Recurrent topics in Yaoyun Shi's work include Quantum Computing Algorithms and Architecture (30 papers), Quantum Information and Cryptography (25 papers) and Quantum Mechanics and Applications (16 papers). Yaoyun Shi is often cited by papers focused on Quantum Computing Algorithms and Architecture (30 papers), Quantum Information and Cryptography (25 papers) and Quantum Mechanics and Applications (16 papers). Yaoyun Shi collaborates with scholars based in United States, China and Australia. Yaoyun Shi's co-authors include Luming Duan, Guifré Vidal, Igor L. Markov, Carl A. Miller, Scott Aaronson, Yuan Feng, Amit Chakrabarti, Andrew Chi-Chih Yao, Anthony Wirth and Runyao Duan and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Yaoyun Shi

41 papers receiving 1.4k citations

Peers

Yaoyun Shi
Comparison fields: 5 of 58
  • Artificial Intelligence 1.1k
  • Atomic and Molecular Physics, and Optics 804
  • Computational Theory and Mathematics 414
  • Computational Mathematics 111
  • Condensed Matter Physics 105
Replace Łukasz Cincio with:
Łukasz Cincio United States
Mikel Sanz Spain
Yi-Kai Liu United States
Richard Kueng Austria
Dorit Aharonov Israel
Masayuki Ohzeki Japan
Bei Zeng China
Michael J. Bremner Australia
Caroline Figgatt United States
Sergei V. Isakov United States
Łukasz Cincio United States View profile →
Citations per field, relative to Yaoyun Shi
Yaoyun Shi · 1×
Citations per year, relative to Yaoyun Shi
Yaoyun Shi · 1×

Countries citing papers authored by Yaoyun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoyun Shi. A scholar is included among the top collaborators of Yaoyun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaoyun Shi. Yaoyun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 10
3 15
4 3
5 23
6 24
7 5
8 7
9 2
10
Physical Randomness Extractors
6
11
Universal security for randomness expansion
4
12
Robust self-testing quantum states and binary nonlocal XOR games
1
13 19
14 2
15 41
16 8
17 231
18 19
19 18
20
Quantum bounds for ordered searching and sorting
3

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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