Yin-Ya Li
Impact in
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- Distributed Control Multi-Agent Systems
- Distributed Sensor Networks and Detection Algorithms
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- Adaptive Control of Nonlinear Systems
- Microgrid Control and Optimization
Papers in
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- Distributed Control Multi-Agent Systems 34
- Distributed Sensor Networks and Detection Algorithms 16
- Neural Networks Stability and Synchronization 9
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- Adaptive Control of Nonlinear Systems 10
- Stability and Control of Uncertain Systems 7
- Co-authors
- Andong Sheng (64 shared papers)Guoqing Qi (58 shared papers)Chunyan Zhang (5 shared papers)Ke Chen (4 shared papers)Jie Shi (2 shared papers)Shen Wang (2 shared papers)Thiagalingam T. Kirubarajan (1 shared paper)Rizwan Ullah (1 shared paper)
In The Last Decade
Yin-Ya Li
74 papers receiving 768 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 329
- Control and Systems Engineering 302
- Aerospace Engineering 191
- Artificial Intelligence 246
- Health Informatics 10
Countries citing papers authored by Yin-Ya Li
This map shows the geographic impact of Yin-Ya Li'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 Yin-Ya Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin-Ya Li more than expected).
Fields of papers citing papers by Yin-Ya Li
This network shows the impact of papers produced by Yin-Ya Li. 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 Yin-Ya Li. The network helps show where Yin-Ya Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yin-Ya Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2017 | 74 | |
| 3 | 2016 | 50 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2008 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2024 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2021 | 12 |
About Yin-Ya Li
Yin-Ya Li is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 781 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Distributed Control Multi-Agent Systems (34 papers), Distributed Sensor Networks and Detection Algorithms (16 papers), Guidance and Control Systems (11 papers), Robotic Path Planning Algorithms (10 papers), Adaptive Control of Nonlinear Systems (10 papers), Neural Networks Stability and Synchronization (9 papers) and Stability and Control of Uncertain Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (329 citations), Control and Systems Engineering (302 citations), Aerospace Engineering (191 citations), Artificial Intelligence (246 citations) and Health Informatics (10 citations). Yin-Ya Li has collaborated with scholars based in China, Sudan and Sweden. Frequent co-authors include Andong Sheng, Guoqing Qi, Chunyan Zhang, Ke Chen, Jie Shi, Shen Wang, Thiagalingam T. Kirubarajan, Rizwan Ullah, Rui Zhao and Pengpeng Ye. Their work appears in journals such as International Journal of Robust and Nonlinear Control, Journal of the Franklin Institute, Nonlinear Dynamics, International Journal of Systems Science and IEEE Sensors Journal.
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.