Zhixiao Wang

1.3k total citations
66 papers, 919 citations indexed

About

Zhixiao Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zhixiao Wang has authored 66 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistical and Nonlinear Physics, 22 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Zhixiao Wang's work include Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (22 papers) and Advanced Graph Neural Networks (12 papers). Zhixiao Wang is often cited by papers focused on Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (22 papers) and Advanced Graph Neural Networks (12 papers). Zhixiao Wang collaborates with scholars based in China, United States and Singapore. Zhixiao Wang's co-authors include Xiaobin Rui, Guan Yuan, Ya Zhao, Zechao Li, Yan Xing, Jianping Fan, Chengcheng Sun, Jinhui Tang, Na Bai and Shaojie Qiao and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Zhixiao Wang

59 papers receiving 891 citations

Peers

Zhixiao Wang
Comparison fields: 5 of 110
  • Statistical and Nonlinear Physics 492
  • Artificial Intelligence 272
  • Computer Networks and Communications 124
  • Sociology and Political Science 102
  • Computer Vision and Pattern Recognition 97
Replace Sangwook Kim with:
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Erheng Zhong Hong Kong
Masoud Asadpour Iran
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Leto Peel United Kingdom
Ram Ramamoorthy United Kingdom
Caixia Liu China
Alfredo Milani Italy
Sangwook Kim South Korea View profile →
Citations per field, relative to Zhixiao Wang
Zhixiao Wang · 1×
Citations per year, relative to Zhixiao Wang
Zhixiao Wang · 1×

Countries citing papers authored by Zhixiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhixiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiao Wang. A scholar is included among the top collaborators of Zhixiao 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 Zhixiao Wang. Zhixiao 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 2
2 0
3 1
4 5
5 2
6 3
7 3
8 9
9 3
10 9
11 12
12 3
13 1
14 24
15 113
16 5
17
Human Face Recognition using Multi-Class Projection Extreme Learning Machine
1
18
Concept-features-based semantic text classification
2
19
Optimization to k-means initial cluster centers
10
20
Induction of oral tolerance to HSP 60 and its effects in the progression of atherosclerotic plaque in mice.
1

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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