Xiaoyang Wang

1.7k total citations
93 papers, 957 citations indexed

About

Xiaoyang Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiaoyang Wang has authored 93 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistical and Nonlinear Physics, 38 papers in Artificial Intelligence and 24 papers in Computer Networks and Communications. Recurrent topics in Xiaoyang Wang's work include Complex Network Analysis Techniques (43 papers), Advanced Graph Neural Networks (29 papers) and Data Management and Algorithms (16 papers). Xiaoyang Wang is often cited by papers focused on Complex Network Analysis Techniques (43 papers), Advanced Graph Neural Networks (29 papers) and Data Management and Algorithms (16 papers). Xiaoyang Wang collaborates with scholars based in China, Australia and United States. Xiaoyang Wang's co-authors include Ying Zhang, Xuemin Lin, Chen Chen, Wenjie Zhang, Dawei Cheng, Liqing Zhang, Yanping Wu, Caiyan Jia, Matthew B. Carson and Yafang Li and has published in prestigious journals such as Scientific Reports, Optics Express and Expert Systems with Applications.

In The Last Decade

Xiaoyang Wang

78 papers receiving 933 citations

Peers

Xiaoyang Wang
Comparison fields: 5 of 79
  • Statistical and Nonlinear Physics 434
  • Artificial Intelligence 403
  • Computer Networks and Communications 192
  • Information Systems 161
  • Computer Vision and Pattern Recognition 139
Replace Pinghui Wang with:
Pinghui Wang China
Reid Andersen United States
Flavio Chierichetti United States
Mauro Sozio France
Kazumi Saito Japan
Yajun Du China
S. P. Rajagopalan India
Francesco Gullo Italy
Pavel Berkhin United States
Pinghui Wang China View profile →
Citations per field, relative to Xiaoyang Wang
Xiaoyang Wang · 1×
Citations per year, relative to Xiaoyang Wang
Xiaoyang Wang · 1×

Countries citing papers authored by Xiaoyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Wang. A scholar is included among the top collaborators of Xiaoyang 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 Xiaoyang Wang. Xiaoyang 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 7
7 1
8 0
9 5
10 3
11 2
12 0
13 2
14 4
15 0
16 4
17 1
18
Distance-aware influence maximization in geo-social network
1
19 1
20
Direct Observation of Fermi Pocket in High Temperature Cuprate Superconductors
2

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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