Xiaoli Yang

1.8k citations
76 papers · 907 indexed · h-index 17
Topics
Nonlinear Dynamics and Pattern Formation (28 papers)Neural dynamics and brain function (26 papers)stochastic dynamics and bifurcation (26 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAdvanced Functional Materials
Partner nations
ChinaGermanyRussia

In The Last Decade

Xiaoli Yang

70 papers receiving 866 citations

Peers

Xiaoli Yang
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 527
  • Computer Networks and Communications 376
  • Cognitive Neuroscience 288
  • Cellular and Molecular Neuroscience 90
  • Electrical and Electronic Engineering 66
Replace Zhongkui Sun with:
Zhongkui Sun China
Bin Deng China
Yong Xie China
Ahmet Omurtag United States
Serafim Rodrigues Spain
Qingyun Wang China
Juan Luis Cabrera Venezuela
Kunichika Tsumoto Japan
R. Yamapi Cameroon
Shenquan Liu China
Xiaoli Yang relative to Zhongkui Sun China Zhongkui Sun's profile →
Citations per field
00.5×1.5×
Zhongkui Sun · 1×
Citations per year

Countries citing papers authored by Xiaoli Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Yang. A scholar is included among the top collaborators of Xiaoli Yang 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 Xiaoli Yang. Xiaoli Yang 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 6
2 0
3 2
4 1
5 1
6 2
7 6
8 5
9 9
10 4
11 9
12 12
13 20
14 38
15 9
16 16
17 1
18 24
19 14
20 4

About Xiaoli Yang

Xiaoli Yang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 76 papers that have together received 907 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (28 papers), Neural dynamics and brain function (26 papers) and stochastic dynamics and bifurcation (26 papers). The work is most often cited by research in Statistical and Nonlinear Physics (527 citations), Computer Networks and Communications (376 citations) and Cognitive Neuroscience (288 citations). Xiaoli Yang has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Zhongkui Sun, Wei Xu, Wei Xu, Fang Tong, Nannan Zhao, Wei Xu, Rui Xiao, Yuanyuan Liu, Xiaoqiang Liu and Guoen Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

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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