Yuh-Shyang Wang

568 total citations
15 papers, 278 citations indexed

About

Yuh-Shyang Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yuh-Shyang Wang has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Yuh-Shyang Wang's work include Stability and Control of Uncertain Systems (9 papers), Advanced Control Systems Optimization (5 papers) and Fault Detection and Control Systems (3 papers). Yuh-Shyang Wang is often cited by papers focused on Stability and Control of Uncertain Systems (9 papers), Advanced Control Systems Optimization (5 papers) and Fault Detection and Control Systems (3 papers). Yuh-Shyang Wang collaborates with scholars based in United States, Norway and Taiwan. Yuh-Shyang Wang's co-authors include Nikolai Matni, John C. Doyle, James Anderson, Yebin Wang, Seungil You, Steven H. Low, Jing Yu, Vijay Gupta, Liang-Chih Yu and Lung‐Hao Lee and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Access and IFAC-PapersOnLine.

In The Last Decade

Yuh-Shyang Wang

15 papers receiving 269 citations

Peers

Yuh-Shyang Wang
Tomaso Poggi Italy
Chris Meissen United States
Liying Sun China
Ehsan Arabi United States
Adrian Hauswirth Switzerland
Fanglai Zhu China
Alberto Bemporad Italy
Zhaowen Xu China
P. Peleties United States
Pedro Henrique Silva Coutinho Brazil
Tomaso Poggi Italy
Yuh-Shyang Wang
Citations per year, relative to Yuh-Shyang Wang Yuh-Shyang Wang (= 1×) peers Tomaso Poggi

Countries citing papers authored by Yuh-Shyang Wang

Since Specialization
Citations

This map shows the geographic impact of Yuh-Shyang 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 Yuh-Shyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuh-Shyang Wang more than expected).

Fields of papers citing papers by Yuh-Shyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuh-Shyang 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 Yuh-Shyang Wang. The network helps show where Yuh-Shyang Wang may publish in the future.

Co-authorship network of co-authors of Yuh-Shyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuh-Shyang Wang. A scholar is included among the top collaborators of Yuh-Shyang 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 Yuh-Shyang Wang. Yuh-Shyang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Lee, Lung‐Hao, et al.. (2021). Ensemble Multi-Channel Neural Networks for Scientific Language Editing Evaluation. IEEE Access. 9. 158540–158547. 2 indexed citations
2.
Yu, Jing, Yuh-Shyang Wang, & James Anderson. (2021). Localized and Distributed $\mathcal{H}_{2}$ State Feedback Control. 2732–2738. 4 indexed citations
3.
Wang, Yuh-Shyang, Nikolai Matni, & John C. Doyle. (2019). A System-Level Approach to Controller Synthesis. IEEE Transactions on Automatic Control. 64(10). 4079–4093. 66 indexed citations
4.
Wang, Yuh-Shyang, Nikolai Matni, & John C. Doyle. (2018). Separable and Localized System-Level Synthesis for Large-Scale Systems. IEEE Transactions on Automatic Control. 63(12). 4234–4249. 48 indexed citations
5.
Doyle, John C., Nikolai Matni, Yuh-Shyang Wang, James Anderson, & Steven H. Low. (2017). System level synthesis: A tutorial. 2856–2867. 9 indexed citations
6.
Wang, Yuh-Shyang, Nikolai Matni, & John C. Doyle. (2017). System Level Parameterizations, constraints and synthesis. 1308–1315. 13 indexed citations
7.
Matni, Nikolai, Yuh-Shyang Wang, & James Anderson. (2017). Scalable system level synthesis for virtually localizable systems. 17. 3473–3480. 19 indexed citations
8.
Wang, Yuh-Shyang & Nikolai Matni. (2016). Localized LQG optimal control for large-scale systems. 1954–1961. 25 indexed citations
9.
Wang, Yuh-Shyang, Nikolai Matni, & John C. Doyle. (2016). Localized LQR control with actuator regularization. 5205–5212. 16 indexed citations
10.
Wang, Yuh-Shyang. (2016). Localized LQR with adaptive constraint and performance guarantee. 2769–2776. 3 indexed citations
11.
Wang, Yuh-Shyang & Yebin Wang. (2015). A gradient-based approach for optimal plant controller co-design. 3249–3254. 9 indexed citations
12.
Wang, Yuh-Shyang, Seungil You, & Nikolai Matni. (2015). Localized Distributed Kalman Filters for Large-Scale Systems. IFAC-PapersOnLine. 48(22). 52–57. 11 indexed citations
13.
Sivaranjani, S., Yuh-Shyang Wang, Vijay Gupta, & Ketan Savla. (2015). Localization of disturbances in transportation systems. 1. 3439–3444. 3 indexed citations
14.
Wang, Yuh-Shyang, Nikolai Matni, & John C. Doyle. (2014). Localized LQR optimal control. 1661–1668. 42 indexed citations
15.
Wang, Yuh-Shyang & Nikolai Matni. (2014). Localized distributed optimal control with output feedback and communication delays. 605–612. 8 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.

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