Kang Xue

995 total citations
107 papers, 666 citations indexed

About

Kang Xue is a scholar working on Geometry and Topology, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Kang Xue has authored 107 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Geometry and Topology, 56 papers in Atomic and Molecular Physics, and Optics and 36 papers in Artificial Intelligence. Recurrent topics in Kang Xue's work include Algebraic structures and combinatorial models (58 papers), Quantum Information and Cryptography (35 papers) and Quantum many-body systems (27 papers). Kang Xue is often cited by papers focused on Algebraic structures and combinatorial models (58 papers), Quantum Information and Cryptography (35 papers) and Quantum many-body systems (27 papers). Kang Xue collaborates with scholars based in China, Singapore and United States. Kang Xue's co-authors include Mo‐Lin Ge, Jing‐Ling Chen, Gangcheng Wang, Yong-Shi Wu, Chunfeng Wu, Luyu Wang, Chang-Pu Sun, C. H. Oh, Qing Zhao and Yongmin Cho and has published in prestigious journals such as Macromolecules, Scientific Reports and Journal of Materials Chemistry A.

In The Last Decade

Kang Xue

94 papers receiving 635 citations

Peers

Kang Xue
Comparison fields: 5 of 55
  • Atomic and Molecular Physics, and Optics 386
  • Geometry and Topology 331
  • Artificial Intelligence 309
  • Algebra and Number Theory 142
  • Statistical and Nonlinear Physics 135
Replace A. I. Zenchuk with:
A. I. Zenchuk Russia
Hubert de Guise Canada
R Le Blanc Canada
Eric C. Rowell United States
J. Deenen Belgium
Vincent X. Genest Canada
Vladimir V. Mangazeev Australia
T. Skrypnyk Ukraine
T. Lulek Poland
Allan I. Solomon United Kingdom
A. I. Zenchuk Russia View profile →
Citations per field, relative to Kang Xue
Kang Xue · 1×
Citations per year, relative to Kang Xue
Kang Xue · 1×

Countries citing papers authored by Kang Xue

Since Specialization
Citations

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

Fields of papers citing papers by Kang Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Xue. A scholar is included among the top collaborators of Kang Xue 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 Kang Xue. Kang Xue 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 3
2 0
3 1
4 0
5 1
6 6
7 1
8 3
9 17
10 1
11 17
12 7
13 0
14 9
15 2
16 10
17
Linear optics implementation for Yang-Baxter Equation
1
18 9
19 6
20 1

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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