Sheng-Yuan Tu

1.8k total citations · 2 hit papers
24 papers, 1.3k citations indexed

About

Sheng-Yuan Tu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Sheng-Yuan Tu has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 11 papers in Statistical and Nonlinear Physics and 9 papers in Computational Mechanics. Recurrent topics in Sheng-Yuan Tu's work include Distributed Control Multi-Agent Systems (12 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Adaptive Filtering Techniques (9 papers). Sheng-Yuan Tu is often cited by papers focused on Distributed Control Multi-Agent Systems (12 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Adaptive Filtering Techniques (9 papers). Sheng-Yuan Tu collaborates with scholars based in United States, Taiwan and Denmark. Sheng-Yuan Tu's co-authors include Ali H. Sayed, Xiaochuan Zhao, Jianshu Chen, Zaid J. Towfic, Kwang‐Cheng Chen, Ramjee Prasad, Jinchao Li and Junbo Wang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology and IEEE Signal Processing Magazine.

In The Last Decade

Sheng-Yuan Tu

24 papers receiving 1.3k citations

Hit Papers

Diffusion strategies for adaptation and learning over net... 2012 2026 2016 2021 2013 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheng-Yuan Tu United States 14 725 708 429 399 207 24 1.3k
Xiaochuan Zhao China 14 646 0.9× 642 0.9× 337 0.8× 387 1.0× 188 0.9× 52 1.3k
Juan Andrés Bazerque United States 13 593 0.8× 689 1.0× 344 0.8× 303 0.8× 342 1.7× 35 1.4k
Thakshila Wimalajeewa United States 15 363 0.5× 293 0.4× 110 0.3× 231 0.6× 211 1.0× 55 684
Daniele Angelosante Italy 16 193 0.3× 448 0.6× 356 0.8× 146 0.4× 194 0.9× 40 865
Vincenzo Matta Italy 21 1.0k 1.4× 146 0.2× 117 0.3× 821 2.1× 395 1.9× 114 1.5k
João F. C. Mota United Kingdom 13 392 0.5× 409 0.6× 97 0.2× 139 0.3× 214 1.0× 48 857
Jiuchao Feng China 14 165 0.2× 93 0.1× 111 0.3× 208 0.5× 152 0.7× 77 623
Philippe Ciblat France 26 919 1.3× 86 0.1× 409 1.0× 278 0.7× 1.3k 6.3× 129 1.8k
Pedro A. Forero United States 12 280 0.4× 119 0.2× 92 0.2× 259 0.6× 156 0.8× 33 601
J. Lodge Canada 18 1.0k 1.4× 119 0.2× 203 0.5× 274 0.7× 1.1k 5.5× 58 1.4k

Countries citing papers authored by Sheng-Yuan Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Tu, Sheng-Yuan & Ali H. Sayed. (2014). Distributed Decision-Making Over Adaptive Networks. IEEE Transactions on Signal Processing. 62(5). 1054–1069. 40 indexed citations
2.
Sayed, Ali H., Sheng-Yuan Tu, & Jianshu Chen. (2013). Online learning and adaptation over networks: More information is not necessarily better. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 30. 1–8. 6 indexed citations
3.
Tu, Sheng-Yuan. (2013). Distributed Adaptation over Networks with Applications to Biological Networks. eScholarship (California Digital Library). 1 indexed citations
4.
Sayed, Ali H., Sheng-Yuan Tu, Jianshu Chen, Xiaochuan Zhao, & Zaid J. Towfic. (2013). Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior. IEEE Signal Processing Magazine. 30(3). 155–171. 352 indexed citations breakdown →
5.
Tu, Sheng-Yuan & Ali H. Sayed. (2012). Effective information flow over mobile adaptive networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 364. 1–6. 4 indexed citations
6.
Zhao, Xiaochuan, Sheng-Yuan Tu, & Ali H. Sayed. (2012). Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data. IEEE Transactions on Signal Processing. 60(7). 3460–3475. 127 indexed citations
7.
Tu, Sheng-Yuan & Ali H. Sayed. (2012). Adaptive decision-making over complex networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 525–530. 4 indexed citations
8.
Tu, Sheng-Yuan & Ali H. Sayed. (2012). On the Influence of Informed Agents on Learning and Adaptation Over Networks. IEEE Transactions on Signal Processing. 61(6). 1339–1356. 28 indexed citations
9.
Tu, Sheng-Yuan & Ali H. Sayed. (2012). Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks. IEEE Transactions on Signal Processing. 60(12). 6217–6234. 345 indexed citations breakdown →
10.
Tu, Sheng-Yuan & Ali H. Sayed. (2012). Diffusion networks outperform consensus networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 147. 313–316. 10 indexed citations
11.
Tu, Sheng-Yuan & Ali H. Sayed. (2011). Adaptive Networks with Noisy Links. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 21 indexed citations
12.
Tu, Sheng-Yuan & Ali H. Sayed. (2011). Optimal combination rules for adaptation and learning over networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 317–320. 44 indexed citations
13.
Tu, Sheng-Yuan & Ali H. Sayed. (2011). On the effects of topology and node distribution on learning over complex adaptive networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 286. 1166–1171. 4 indexed citations
14.
Tu, Sheng-Yuan & Ali H. Sayed. (2011). Mobile Adaptive Networks. IEEE Journal of Selected Topics in Signal Processing. 5(4). 649–664. 145 indexed citations
15.
Li, Jinchao, Sheng-Yuan Tu, & Ali H. Sayed. (2011). Honeybee swarming behavior using diffusion adaptation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 249–254. 8 indexed citations
16.
Tu, Sheng-Yuan & Ali H. Sayed. (2011). Cooperative prey herding based on diffusion adaptation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3752–3755. 29 indexed citations
17.
Tu, Sheng-Yuan & Ali H. Sayed. (2010). Tracking behavior of mobile adaptive networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 698–702. 19 indexed citations
18.
Tu, Sheng-Yuan, et al.. (2009). Influence of thickness of armor on the burst-effect of steel shell PELE. 33. 4–926. 5 indexed citations
19.
Tu, Sheng-Yuan, Kwang‐Cheng Chen, & Ramjee Prasad. (2009). Spectrum Sensing of OFDMA Systems for Cognitive Radio Networks. IEEE Transactions on Vehicular Technology. 58(7). 3410–3425. 43 indexed citations
20.
Tu, Sheng-Yuan, Kwang‐Cheng Chen, & Ramjee Prasad. (2007). Spectrum Sensing of OFDMA Systems for Cognitive Radios. 1–5. 16 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026