Sixia Yu

2.9k citations
90 papers · 1.9k · h-index 24

Impact in

Papers in

Sixia Yu

84 papers receiving 1.9k citations

Peers

Sixia Yu
Comparison fields: 5 of 76
  • Atomic and Molecular Physics, and Optics 1.6k
  • Artificial Intelligence 1.5k
  • Statistical and Nonlinear Physics 230
  • Water Science and Technology 125
  • Computational Theory and Mathematics 108
Replace Esteban A. Martinez with:
Esteban A. Martinez Austria
A. T. Rezakhani Iran
Václav Potoček Czechia
Thomas M. Niemczyk United States
G. Massimo Palma Italy
Ye Wang China
C. Saavedra Chile
Shuai Chen China
Jing‐Ling Chen China
Sixia Yu relative to Esteban A. Martinez Austria Esteban A. Martinez's profile →
Citations per field
00.5×8.3×
Esteban A. Martinez · 1×
Citations per year

Countries citing papers authored by Sixia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Sixia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sixia Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sixia Yu Line = papers co-authored together Sixia Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 2017146
3 2012134
4 200989
5 201183
6 200577
7 201268
8 201060
9 201557
10 200157
11 200847
12 200340
13 201238
14 201434
15 200329
16 200829
17 201829
18 201529
19 199528
20 201125

About Sixia Yu

Sixia Yu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and History and Philosophy of Science, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (77 papers), Quantum Mechanics and Applications (61 papers), Quantum Computing Algorithms and Architecture (46 papers), Quantum-Dot Cellular Automata (8 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Quantum Mechanics and Non-Hermitian Physics (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Artificial Intelligence (1.5k citations), Statistical and Nonlinear Physics (230 citations), Water Science and Technology (125 citations) and Computational Theory and Mathematics (108 citations). Sixia Yu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include C. H. Oh, Qing Chen, Chengjie Zhang, X. X. Yi, Nai-Le Liu, Shengjun Wu, Klaus Mølmer, Ching–Yi Lai, S. C. Hou and Jian-Wei Pan. Their work appears in journals such as Physical Review A, Physical review. A, Physical Review Letters, The European Physical Journal D and IEEE Transactions on Information Theory.

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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