Xiao-Ling Gai

841 citations
39 papers · 692 · h-index 15

Impact in

Papers in

Xiao-Ling Gai

37 papers receiving 652 citations

Peers

Xiao-Ling Gai
Comparison fields: 5 of 47
  • Speech and Hearing 222
  • Statistical and Nonlinear Physics 237
  • Modeling and Simulation 64
  • Automotive Engineering 130
  • Biomedical Engineering 426
Replace Michael J. Frazier with:
Michael J. Frazier United States
Michal Bednařı́k Czechia
Zhiling Zhou China
Milan Červenka Czechia
Dongting Li China
Raj K. Narisetti United States
Yi-Ze Wang China
Miles V. Barnhart United States
Benoît Nennig France
Danilo Beli Brazil
Xiao-Ling Gai relative to Michael J. Frazier United States Michael J. Frazier's profile →
Citations per field
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Michael J. Frazier · 1×
Citations per year

Countries citing papers authored by Xiao-Ling Gai

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ling Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Ling Gai. 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 Xiao-Ling Gai. The network helps show where Xiao-Ling Gai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201764
3 200955
4 201752
5 202151
6 201848
7 201039
8 201637
9 202235
10 202022
11 201021
12 201119
13 202017
14 201015
15 201914
16 201212
17 201911
18 201011
19 200910
20 201110

About Xiao-Ling Gai

Xiao-Ling Gai is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering, Speech and Hearing, Mathematical Physics and Aerospace Engineering, having authored 39 papers that have together received 692 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (19 papers), Acoustic Wave Phenomena Research (18 papers), Nonlinear Photonic Systems (17 papers), Noise Effects and Management (14 papers), Advanced Mathematical Physics Problems (7 papers), Fractional Differential Equations Solutions (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Speech and Hearing (222 citations), Statistical and Nonlinear Physics (237 citations), Modeling and Simulation (64 citations), Automotive Engineering (130 citations) and Biomedical Engineering (426 citations). Xiao-Ling Gai has collaborated with scholars based in China. Frequent co-authors include Xianhui Li, Tuo Xing, Yi-Tian Gao, Junjuan Zhao, Wenjiang Wang, Zhi‐Yuan Sun, Bin Zhang, Bin Zhang, Lei Wang and Lei Wang. Their work appears in journals such as Applied Acoustics, Applied Mathematics and Computation, Nonlinear Dynamics, The Journal of the Acoustical Society of America and Communications in Nonlinear Science and Numerical Simulation.

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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