Yu Yang
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Materials Chemistry
- Energy Engineering and Power Technology top 10%
- Co-authors
- Jong Min LeePaul I. BartonHen‐Geul YehJohn A. RogersKeith A. NelsonXiaoying WangStevan DubljevićPhebe Vayanos
- Topics
- Advanced Control Systems Optimization (29 papers)Process Optimization and Integration (19 papers)Fault Detection and Control Systems (15 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringAutomotive Engineering
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yu Yang
55 papers receiving 454 citations
Peers
Comparison fields: 5 of 77
- Control and Systems Engineering 194
- Electrical and Electronic Engineering 126
- Biomedical Engineering 56
- Materials Chemistry 52
- Energy Engineering and Power Technology 51
Countries citing papers authored by Yu Yang
This map shows the geographic impact of Yu 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 Yu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yang more than expected).
Fields of papers citing papers by Yu Yang
This network shows the impact of papers produced by Yu 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 Yu Yang. The network helps show where Yu Yang may publish in the future.
Co-authorship network of co-authors of Yu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yang. A scholar is included among the top collaborators of Yu Yang 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 Yang. Yu Yang 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 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 36 | |
| 14 | 21 | |
| 15 | 5 | |
| 16 | Robust nonlinear model predictive control via approximate value function | 1 |
| 17 | Observer design for linear discrete systems with delayed measurements and disturbances | 0 |
| 18 | 14 | |
| 19 | Integrated evaluation for synergetic development of city traffic system based on DEA model | 2 |
| 20 | Research on DEA-based Integrated Evaluation for Sustainable Development of Urban Transit | 1 |
About Yu Yang
Yu Yang is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Numerical Analysis, having authored 61 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (29 papers), Process Optimization and Integration (19 papers) and Fault Detection and Control Systems (15 papers). The work is most often cited by research in Energy Engineering and Power Technology (51 citations), Control and Systems Engineering (194 citations) and Automotive Engineering (37 citations). Yu Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jong Min Lee, Paul I. Barton, Hen‐Geul Yeh, John A. Rogers, Keith A. Nelson, Xiaoying Wang, Stevan Dubljević, Phebe Vayanos, Katherine M. E. Stewart and Guofang Shu. Their work appears in journals such as Analytical Biochemistry, Energy Conversion and Management and IEEE Access.
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.