Xiao‐Dong Yu

1.1k citations
27 papers · 687 indexed · h-index 14
Topics
Quantum Information and Cryptography (27 papers)Quantum Mechanics and Applications (20 papers)Quantum Computing Algorithms and Architecture (19 papers)
Partner nations
ChinaGermanyAustria

In The Last Decade

Xiao‐Dong Yu

26 papers receiving 659 citations

Peers

Xiao‐Dong Yu
Comparison fields: 5 of 34
  • Artificial Intelligence 632
  • Atomic and Molecular Physics, and Optics 605
  • Statistical and Nonlinear Physics 79
  • Computational Theory and Mathematics 26
  • Statistics and Probability 6
Replace Ludovico Lami with:
Ludovico Lami Germany
Yuxiang Yang China
Sébastien Designolle Switzerland
Fabian Furrer Japan
Filip Wudarski United States
Karol Bartkiewicz Czechia
Bartosz Regula United Kingdom
Julio I. de Vicente Spain
Oleg Gittsovich Austria
Da-Jian Zhang China
Xiao‐Dong Yu relative to Ludovico Lami Germany Ludovico Lami's profile →
Citations per field
00.5×3.5×
Ludovico Lami · 1×
Citations per year

Countries citing papers authored by Xiao‐Dong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Dong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Dong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Dong Yu. A scholar is included among the top collaborators of Xiao‐Dong Yu 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 Xiao‐Dong Yu. Xiao‐Dong Yu 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
#WorkIndexed citations
1 0
2 4
3 9
4 2
5 13
6 2
7 21
8 48
9 22
10 24
11
Efficient and practical verification of quantum processes
2
12 95
13 21
14 8
15 36
16 21
17 132
18 97
19 9
20 10

About Xiao‐Dong Yu

Xiao‐Dong Yu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 27 papers that have together received 687 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (27 papers), Quantum Mechanics and Applications (20 papers) and Quantum Computing Algorithms and Architecture (19 papers). The work is most often cited by research in Artificial Intelligence (632 citations), Atomic and Molecular Physics, and Optics (605 citations) and Statistical and Nonlinear Physics (79 citations). Xiao‐Dong Yu has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Otfried Gühne, D. M. Tong, Da-Jian Zhang, Jiangwei Shang, C. L. Liu, Guofu Xu, Tristan Kraft, Roope Uola, H. Chau Nguyen and Cornelia Spee. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.

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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