Xiaoyang Wang
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- Complex Network Analysis Techniques 43
- Signal Processing top 5%
- Data Management and Algorithms 16
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 29
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- Caching and Content Delivery 9
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- Graph Theory and Algorithms 13
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- Spam and Phishing Detection 7
- Data Mining Algorithms and Applications 6
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- Advanced Graph Theory Research 7
- Co-authors
- Ying ZhangXuemin LinChen ChenWenjie ZhangDawei ChengLiqing ZhangYanping WuCaiyan Jia
- Journals
- Scientific Reports (1 paper)Optics Express (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoyang Wang
78 papers receiving 933 citations
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 434
- Signal Processing 135
- Artificial Intelligence 403
- Computer Networks and Communications 192
- Geography, Planning and Development 42
Countries citing papers authored by Xiaoyang Wang
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
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
The 25 scholars most cited alongside Xiaoyang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 0 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 1 | |
| 18 | Distance-aware influence maximization in geo-social network | 2016 | 1 |
| 19 | 2015 | 1 | |
| 20 | Direct Observation of Fermi Pocket in High Temperature Cuprate Superconductors | 2009 | 2 |
About Xiaoyang Wang
Xiaoyang Wang is a scholar working on Statistical and Nonlinear Physics, Computational Mathematics and Signal Processing, having authored 93 papers that have together received 957 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (43 papers), Advanced Graph Neural Networks (29 papers), Data Management and Algorithms (16 papers), Graph Theory and Algorithms (13 papers), Caching and Content Delivery (9 papers), Spam and Phishing Detection (7 papers), Advanced Graph Theory Research (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (434 citations), Signal Processing (135 citations) and Artificial Intelligence (403 citations). Xiaoyang Wang has collaborated with scholars based in China, Australia and United States. Frequent 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. Their work appears in journals such as Scientific Reports, Optics Express and Expert Systems with Applications.
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.