Ruohan Yang
Impact in
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
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- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
Papers in
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- Distributed Control Multi-Agent Systems 7
- Neural Networks Stability and Synchronization 7
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- Stability and Control of Uncertain Systems 3
- Co-authors
- Hao Zhang (6 shared papers)Huaicheng Yan (6 shared papers)Gang Feng (2 shared papers)Zhuping Wang (1 shared paper)Fuwen Yang (4 shared papers)Lu Liu (1 shared paper)Qijun Chen (1 shared paper)Kun Su (1 shared paper)
In The Last Decade
Ruohan Yang
9 papers receiving 411 citations
Ruohan Yang's Hit Papers
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 342
- Control and Systems Engineering 266
- Computational Theory and Mathematics 40
- Electrical and Electronic Engineering 50
- Aerospace Engineering 20
Countries citing papers authored by Ruohan Yang
This map shows the geographic impact of Ruohan Yang'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 Ruohan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruohan Yang more than expected).
Fields of papers citing papers by Ruohan Yang
This network shows the impact of papers produced by Ruohan Yang. 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 Ruohan Yang. The network helps show where Ruohan Yang may publish in the future.
Co-authors
The 9 scholars most cited alongside Ruohan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robust cooperative output regulation of multi-agent systems via adaptive event-triggered control Hit paper breakdown → | 2019 | 216 |
| 2 | 2015 | 107 | |
| 3 | 2021 | 44 | |
| 4 | 2015 | 36 | |
| 5 | 2024 | 6 | |
| 6 | 2016 | 2 | |
| 7 | Cooperative control of heterogeneous multi-agent systems via distributed adaptive output regulation under switching topology | 2016 | 1 |
| 8 | 2024 | 1 | |
| 9 | 2016 | 1 |
About Ruohan Yang
Ruohan Yang is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Automotive Engineering, Finance and Artificial Intelligence, having authored 9 papers that have together received 414 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (7 papers), Neural Networks Stability and Synchronization (7 papers), Stability and Control of Uncertain Systems (3 papers), UAV Applications and Optimization (1 paper), Analog and Mixed-Signal Circuit Design (1 paper), Financial Markets and Investment Strategies (1 paper), Advanced Battery Technologies Research (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Computer Networks and Communications (342 citations), Control and Systems Engineering (266 citations), Computational Theory and Mathematics (40 citations), Electrical and Electronic Engineering (50 citations) and Aerospace Engineering (20 citations). Ruohan Yang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Hao Zhang, Huaicheng Yan, Gang Feng, Zhuping Wang, Fuwen Yang, Lu Liu, Qijun Chen, Kun Su and Degang Chen. Their work appears in journals such as Information Sciences, Research in International Business and Finance, Unmanned Systems, Automatica and Journal of the Franklin Institute.
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.