Yong‐Jian Han

1.7k citations
86 papers · 1.2k indexed · h-index 19
Topics
Quantum Information and Cryptography (54 papers)Quantum Computing Algorithms and Architecture (34 papers)Quantum many-body systems (29 papers)

In The Last Decade

Yong‐Jian Han

81 papers receiving 1.1k citations

Peers

Yong‐Jian Han
Comparison fields: 5 of 60
  • Atomic and Molecular Physics, and Optics 996
  • Artificial Intelligence 661
  • Condensed Matter Physics 171
  • Statistical and Nonlinear Physics 136
  • Electrical and Electronic Engineering 81
Replace Emanuele G. Dalla Torre with:
Emanuele G. Dalla Torre Israel
Sylvain de Léséleuc Japan
A. Kyprianidis United States
Abolfazl Bayat China
Tao Shi China
Crystal Senko United States
A. Lee United States
Esteban A. Martinez Austria
Christian Kokail Austria
S. Iblisdir Spain
Yong‐Jian Han relative to Emanuele G. Dalla Torre Israel Emanuele G. Dalla Torre's profile →
Citations per field
00.5×1.5×
Emanuele G. Dalla Torre · 1×
Citations per year

Countries citing papers authored by Yong‐Jian Han

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Jian Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Jian Han. 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 Yong‐Jian Han. The network helps show where Yong‐Jian Han may publish in the future.

Co-authorship network of co-authors of Yong‐Jian Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Jian Han. A scholar is included among the top collaborators of Yong‐Jian Han 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 Yong‐Jian Han. Yong‐Jian Han 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 3
2 35
3 23
4 5
5 10
6 20
7 11
8 5
9 11
10 0
11 7
12 66
13 35
14 4
15
Tunneling frustration induced peculiar supersolid phases in the extended Bose-Hubbard model
1
16 102
17
Strongly-coupled Josephson junction array for simulation of frustrated one-dimensional spin models
1
18
Stabilization of the p-wave superfluid state in an optical lattice
4
19 43
20 6

About Yong‐Jian Han

Yong‐Jian Han is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (34 papers) and Quantum many-body systems (29 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (996 citations), Artificial Intelligence (661 citations) and Acoustics and Ultrasonics (17 citations). Yong‐Jian Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guang‐Can Guo, Chuan‐Feng Li, Geng Chen, Jin‐Shi Xu, Lixin He, Robert Raussendorf, Luming Duan, Wen-Yuan Liu, Bi‐Heng Liu and Yun‐Feng Huang. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review B.

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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