Sheng-Yuan Tu
- Computer Networks and Communications top 2%
- Computational Mechanics top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Co-authors
- Ali H. SayedXiaochuan ZhaoJianshu ChenZaid J. TowficKwang‐Cheng ChenRamjee PrasadJinchao LiJunbo Wang
- Topics
- Distributed Control Multi-Agent Systems (12 papers)Opinion Dynamics and Social Influence (11 papers)Advanced Adaptive Filtering Techniques (9 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Vehicular TechnologyIEEE Signal Processing Magazine
- Partner nations
- United StatesTaiwanDenmark
In The Last Decade
Sheng-Yuan Tu
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 725
- Computational Mechanics 708
- Signal Processing 429
- Artificial Intelligence 399
- Electrical and Electronic Engineering 207
Countries citing papers authored by Sheng-Yuan Tu
This map shows the geographic impact of Sheng-Yuan Tu'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 Sheng-Yuan Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Yuan Tu more than expected).
Fields of papers citing papers by Sheng-Yuan Tu
This network shows the impact of papers produced by Sheng-Yuan Tu. 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 Sheng-Yuan Tu. The network helps show where Sheng-Yuan Tu may publish in the future.
Co-authorship network of co-authors of Sheng-Yuan Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Yuan Tu. A scholar is included among the top collaborators of Sheng-Yuan Tu 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 Sheng-Yuan Tu. Sheng-Yuan Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 6 | |
| 3 | Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behaviorbreakdown → | 352 |
| 4 | Distributed Adaptation over Networks with Applications to Biological Networks | 1 |
| 5 | 4 | |
| 6 | 127 | |
| 7 | 4 | |
| 8 | 28 | |
| 9 | Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networksbreakdown → | 345 |
| 10 | 10 | |
| 11 | 21 | |
| 12 | 44 | |
| 13 | 145 | |
| 14 | 29 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 5 | |
| 19 | 43 | |
| 20 | 9 |
About Sheng-Yuan Tu
Sheng-Yuan Tu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Mechanics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Adaptive Filtering Techniques (9 papers). The work is most often cited by research in Signal Processing (429 citations), Computational Mechanics (708 citations) and Computer Networks and Communications (725 citations). Sheng-Yuan Tu has collaborated with scholars based in United States, Taiwan and Denmark. Frequent co-authors include Ali H. Sayed, Xiaochuan Zhao, Jianshu Chen, Zaid J. Towfic, Kwang‐Cheng Chen, Ramjee Prasad, Jinchao Li and Junbo Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology and IEEE Signal Processing Magazine.
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.