Xiaoyuan Wang

1.3k citations
78 papers · 1.0k indexed · h-index 19
Topics
Advanced Memory and Neural Computing (38 papers)Neuroscience and Neural Engineering (16 papers)Neural Networks Stability and Synchronization (11 papers)

In The Last Decade

Xiaoyuan Wang

74 papers receiving 974 citations

Peers

Xiaoyuan Wang
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 545
  • Statistical and Nonlinear Physics 364
  • Computer Networks and Communications 273
  • Industrial and Manufacturing Engineering 164
  • Cognitive Neuroscience 162
Replace Dongming Xu with:
Dongming Xu United States
Na Helian United Kingdom
Qinghui Hong China
Masato Motomura Japan
Peng Gu United States
Mark Goldberg United States
Simon W. Moore United Kingdom
Bei Chen China
Dotan Di Castro Israel
Dietmar Fey Germany
Xiaoyuan Wang relative to Dongming Xu United States Dongming Xu's profile →
Citations per field
00.5×11.7×
Dongming Xu · 1×
Citations per year

Countries citing papers authored by Xiaoyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Wang. A scholar is included among the top collaborators of Xiaoyuan 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 Xiaoyuan Wang. Xiaoyuan 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 5
2 6
3 2
4 2
5 12
6 0
7 2
8 40
9 6
10 0
11 24
12 12
13 5
14 1
15
Novel circuit of memristor and its chaotic dynamics characteristics
2
16 19
17
Evaluation on power communication service importance based on fuzzy analytic hierarchy process
0
18
Design and Realization for FSK Circuit Based on DDS
1
19 24
20
Estimation of AP buffer size for TCP fairness over WLAN
1

About Xiaoyuan Wang

Xiaoyuan Wang is a scholar working on Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Neuroscience and Neural Engineering (16 papers) and Neural Networks Stability and Synchronization (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (364 citations), Industrial and Manufacturing Engineering (164 citations) and Computer Networks and Communications (273 citations). Xiaoyuan Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Herbert Ho‐Ching Iu, Guangyi Wang, Yuan Fang, Ji‐Bo Wang, Meng Gao, Jason K. Eshraghian, Pengfei Zhou, Chunhua Wang, Yiran Shen and Simin Yu. Their work appears in journals such as IEEE Access, Information & Management and Computers & Operations Research.

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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