Yu-Xiang Wang
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Information Systems
- Co-authors
- Shengdong XieAaron RothAlessandro AchilleMichael KearnsStefano SoattoHaitao LiPanpan TangLiang-Sian Lin
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Software-Defined Networks and 5G (2 papers)Stochastic Gradient Optimization Techniques (2 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yu-Xiang Wang
11 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 157
- Artificial Intelligence 104
- Electrical and Electronic Engineering 90
- Computational Theory and Mathematics 51
- Information Systems 38
Countries citing papers authored by Yu-Xiang Wang
This map shows the geographic impact of Yu-Xiang 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 Yu-Xiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Xiang Wang more than expected).
Fields of papers citing papers by Yu-Xiang Wang
This network shows the impact of papers produced by Yu-Xiang 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 Yu-Xiang Wang. The network helps show where Yu-Xiang Wang may publish in the future.
Co-authorship network of co-authors of Yu-Xiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Xiang Wang. A scholar is included among the top collaborators of Yu-Xiang 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 Yu-Xiang Wang. Yu-Xiang 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 | 1 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm | 0 |
| 9 | 3 | |
| 10 | 3 | |
| 11 | Construction of Tree Network with Limited Delivery Latency in Homogeneous Wireless Sensor Networksbreakdown → | 303 |
| 12 | 3 |
About Yu-Xiang Wang
Yu-Xiang Wang is a scholar working on Toxicology, Signal Processing and Artificial Intelligence, having authored 12 papers that have together received 350 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Software-Defined Networks and 5G (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (157 citations), Artificial Intelligence (104 citations) and Computational Theory and Mathematics (51 citations). Yu-Xiang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shengdong Xie, Aaron Roth, Alessandro Achille, Michael Kearns, Stefano Soatto, Haitao Li, Panpan Tang, Liang-Sian Lin, Yongxin Tong and Qiang Yan. Their work appears in journals such as IEEE Access, BMC Bioinformatics and IEEE Transactions on Knowledge and Data Engineering.
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.