Zhixiao Wang
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition top 10%
- Topics
- Complex Network Analysis Techniques (28 papers)Opinion Dynamics and Social Influence (22 papers)Advanced Graph Neural Networks (12 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhixiao Wang
59 papers receiving 891 citations
Peers
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
Countries citing papers authored by Zhixiao Wang
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
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
| # | 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 |
About Zhixiao Wang
Zhixiao Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications, having authored 66 papers that have together received 919 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (22 papers) and Advanced Graph Neural Networks (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (492 citations), Human-Computer Interaction (65 citations) and Artificial Intelligence (272 citations). Zhixiao Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaobin Rui, Guan Yuan, Ya Zhao, Zechao Li, Yan Xing, Jianping Fan, Chengcheng Sun, Jinhui Tang, Na Bai and Shaojie Qiao. Their work appears in journals such as ACS Applied Materials & Interfaces, IEEE Access and IEEE Transactions on Cybernetics.
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.