Li Yu
- Control and Systems Engineering top 0.05%
- Stability and Control of Uncertain Systems 145
- Fault Detection and Control Systems 91
- Adaptive Control of Nonlinear Systems 70
- Advanced Control Systems Optimization 51
- Computer Networks and Communications top 0.1%
- Distributed Sensor Networks and Detection Algorithms 75
- Neural Networks Stability and Synchronization 50
- Distributed Control Multi-Agent Systems 44
- Artificial Intelligence top 0.5%
- Target Tracking and Data Fusion in Sensor Networks 74
- Computational Theory and Mathematics top 0.5%
- Journals
- Automatica (22 papers)Journal of the Franklin Institute (20 papers)IEEE Transactions on Automatic Control (14 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Yu
437 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Control and Systems Engineering 8.2k
- Computer Networks and Communications 5.9k
- Artificial Intelligence 2.2k
- Computational Theory and Mathematics 859
- Statistical and Nonlinear Physics 415
Countries citing papers authored by Li Yu
This map shows the geographic impact of Li Yu'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 Li Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yu more than expected).
Fields of papers citing papers by Li Yu
This network shows the impact of papers produced by Li Yu. 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 Li Yu. The network helps show where Li Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Yu, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 37 | |
| 13 | 2022 | 74 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 34 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 145 | |
| 19 | 2011 | 0 | |
| 20 | Computation of all stabilizing PID controllers for systems with time delay based on singular frequencies | 2010 | 2 |
About Li Yu
Li Yu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 464 papers that have together received 11.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (145 papers), Fault Detection and Control Systems (91 papers), Distributed Sensor Networks and Detection Algorithms (75 papers), Target Tracking and Data Fusion in Sensor Networks (74 papers), Adaptive Control of Nonlinear Systems (70 papers), Advanced Control Systems Optimization (51 papers), Neural Networks Stability and Synchronization (50 papers) and Distributed Control Multi-Agent Systems (44 papers). The work is most often cited by research in Control and Systems Engineering (8.2k citations), Computer Networks and Communications (5.9k citations) and Artificial Intelligence (2.2k citations). Li Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wen‐An Zhang, Bo Chen, Dan Zhang, Dan Zhang, Andong Liu, Daniel W. C. Ho, Guoqiang Hu, Qing‐Guo Wang, Jian Chu and Peng Shi. Their work appears in journals such as Automatica, Journal of the Franklin Institute, IEEE Transactions on Automatic Control, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Industrial Electronics.
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.