Maosheng Wang

735 citations
49 papers · 607 indexed · h-index 14
Topics
stochastic dynamics and bifurcation (26 papers)Neural dynamics and brain function (24 papers)Nonlinear Dynamics and Pattern Formation (21 papers)
Partner nations
ChinaTaiwanHong Kong

In The Last Decade

Maosheng Wang

42 papers receiving 574 citations

Peers

Maosheng Wang
Comparison fields: 5 of 77
  • Statistical and Nonlinear Physics 431
  • Cognitive Neuroscience 364
  • Computer Networks and Communications 272
  • Electrical and Electronic Engineering 113
  • Cellular and Molecular Neuroscience 54
Replace Hatsuo Hayashi with:
Hatsuo Hayashi Japan
Nadezhda Semenova Russia
Tae-Wook Ko South Korea
Ergin Yılmaz Türkiye
David Chik United Kingdom
Veli Baysal Türkiye
Enno de Lange Germany
Clovis Ntahkie Takembo Cameroon
Jinming Luo China
Mahesh Wickramasinghe United States
Maosheng Wang relative to Hatsuo Hayashi Japan Hatsuo Hayashi's profile →
Citations per field
00.5×10×13.8×
Hatsuo Hayashi · 1×
Citations per year

Countries citing papers authored by Maosheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Maosheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maosheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Maosheng Wang. A scholar is included among the top collaborators of Maosheng Wang 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 Maosheng Wang. Maosheng Wang 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 0
2 3
3 5
4 0
5 0
6 5
7 12
8 5
9 1
10 2
11 1
12 1
13 12
14 8
15 4
16 3
17 22
18 25
19 73
20 55

About Maosheng Wang

Maosheng Wang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 49 papers that have together received 607 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (26 papers), Neural dynamics and brain function (24 papers) and Nonlinear Dynamics and Pattern Formation (21 papers). The work is most often cited by research in Statistical and Nonlinear Physics (431 citations), Cognitive Neuroscience (364 citations) and Computer Networks and Communications (272 citations). Maosheng Wang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Houwen Xin, Zhonghuai Hou, Jiqian Zhang, Fei Xu, Tingting Fang, Yubing Gong, Shiwen Ding, Chechia Hu, Mingquan Ye and Chin‐Kun Hu. Their work appears in journals such as Journal of Neurophysiology, Optics Express and Geophysics.

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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