Jun Chai

883 citations
47 papers · 811 · h-index 18

Impact in

Papers in

Jun Chai

47 papers receiving 797 citations

Peers

Jun Chai
Comparison fields: 5 of 40
  • Statistical and Nonlinear Physics 766
  • Modeling and Simulation 183
  • Mathematical Physics 125
  • Geometry and Topology 113
  • Atomic and Molecular Physics, and Optics 288
Replace Xi-Yang Xie with:
Xi-Yang Xie China
Shuwei Xu China
Monika Niwas India
Sarfaraz Ahmed Pakistan
Hui-Qin Hao China
Guang-Mei Wei China
K. El-Rashidy Saudi Arabia
Emmanuel Yomba United States
Rehab M. El‐Shiekh Egypt
Jun Chai relative to Xi-Yang Xie China Xi-Yang Xie's profile →
Citations per field
00.5×1.5×1.9×
Xi-Yang Xie · 1×
Citations per year

Countries citing papers authored by Jun Chai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201651
3 201647
4 201744
5 201644
6 201637
7 201636
8 201534
9 201732
10 201829
11 201629
12 201627
13 201627
14 201722
15 201722
16 201620
17 201519
18 201717
19 201717
20 201516

About Jun Chai

Jun Chai is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Modeling and Simulation, Geometry and Topology and Mathematical Physics, having authored 47 papers that have together received 811 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (47 papers), Nonlinear Waves and Solitons (46 papers), Advanced Fiber Laser Technologies (20 papers), Fractional Differential Equations Solutions (8 papers), Algebraic structures and combinatorial models (7 papers), Advanced Mathematical Physics Problems (5 papers), Quantum Mechanics and Non-Hermitian Physics (3 papers) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (766 citations), Modeling and Simulation (183 citations), Mathematical Physics (125 citations), Geometry and Topology (113 citations) and Atomic and Molecular Physics, and Optics (288 citations). Jun Chai has collaborated with scholars based in China. Frequent co-authors include Bo Tian, Xiao-Yu Wu, Wen‐Rong Sun, Xi-Yang Xie, Hui‐Ling Zhen, Hui-Min Yin, Lei Liu, Bo Tian, Yong-Jiang Guo and Xue-Hui Zhao. Their work appears in journals such as Waves in Random and Complex Media, Superlattices and Microstructures, Communications in Nonlinear Science and Numerical Simulation, Optical Engineering and Nonlinear Dynamics.

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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