Meiyu Wang
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Wireless Signal Modulation Classification (7 papers)Energy Harvesting in Wireless Networks (3 papers)Adversarial Robustness in Machine Learning (3 papers)
- Cited by
- Artificial IntelligenceElectrical and Electronic EngineeringComputer Networks and Communications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Meiyu Wang
31 papers receiving 783 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 398
- Artificial Intelligence 330
- Aerospace Engineering 157
- Computer Networks and Communications 150
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Meiyu Wang
This map shows the geographic impact of Meiyu 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 Meiyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiyu Wang more than expected).
Fields of papers citing papers by Meiyu Wang
This network shows the impact of papers produced by Meiyu 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 Meiyu Wang. The network helps show where Meiyu Wang may publish in the future.
Co-authorship network of co-authors of Meiyu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Meiyu Wang. A scholar is included among the top collaborators of Meiyu 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 Meiyu Wang. Meiyu 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 177 | |
| 15 | 5 | |
| 16 | 168 | |
| 17 | A Low-Profile Miniaturized Frequency Selective Surface with Insensitive Polarization | 8 |
| 18 | 21 | |
| 19 | Electricity Prices Predicating Based on Chaos Theory in Electric Power Market | 0 |
| 20 | 1 |
About Meiyu Wang
Meiyu Wang is a scholar working on Computational Mathematics, Signal Processing and Computer Networks and Communications, having authored 36 papers that have together received 800 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (7 papers), Energy Harvesting in Wireless Networks (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Electrical and Electronic Engineering (398 citations) and Computer Networks and Communications (150 citations). Meiyu Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yun Lin, Qiao Tian, Ya Tu, Haojun Zhao, Xuefei Ma, Guoru Ding, Shiwen Mao, Peng Wang, Zheng Dou and Weifeng Wei. Their work appears in journals such as Advanced Materials, ACS Applied Materials & Interfaces and IEEE Access.
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.