Kunkun Wang

2.8k citations
83 papers · 1.9k · h-index 24

Impact in

Papers in

    • Quantum Mechanics and Applications 25
    • Quantum Mechanics and Non-Hermitian Physics 11
    • Topological Materials and Phenomena 10
    • Quantum Information and Cryptography 34
    • Quantum Computing Algorithms and Architecture 33
    • Neural Networks and Reservoir Computing 10

Kunkun Wang

77 papers receiving 1.8k citations

Peers

Kunkun Wang
Comparison fields: 5 of 108
  • Statistical and Nonlinear Physics 544
  • Atomic and Molecular Physics, and Optics 1.2k
  • Artificial Intelligence 609
  • Acoustics and Ultrasonics 9
  • Catalysis 56
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Citations per field
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Citations per year

Countries citing papers authored by Kunkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kunkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunkun Wang, 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 Kunkun Wang Line = papers co-authored together Kunkun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 2021141
3 2019140
4 2019139
5 202293
6 202292
7 201884
8 201981
9 201677
10 202267
11 202147
12 201845
13 201644
14 202234
15 201734
16 202033
17 202231
18 201831
19 201831
20 202327

About Kunkun Wang

Kunkun Wang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Materials Chemistry, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (33 papers), Quantum Mechanics and Applications (25 papers), Quantum Mechanics and Non-Hermitian Physics (11 papers), Neural Networks and Reservoir Computing (10 papers), Topological Materials and Phenomena (10 papers), Quantum chaos and dynamical systems (5 papers) and Nonlinear Photonic Systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (544 citations), Atomic and Molecular Physics, and Optics (1.2k citations), Artificial Intelligence (609 citations), Acoustics and Ultrasonics (9 citations) and Catalysis (56 citations). Kunkun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Xue, Lei Xiao, Wei Yi, Xiang Zhan, Zhihao Bian, Xingze Qiu, Barry C. Sanders, Quan Lin, Tianyu Li and Yinqing Zhang. Their work appears in journals such as Physical review. A, Physical Review Letters, New Journal of Physics, Nature Communications and International Journal of Biological Macromolecules.

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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