Yongyuan Yu
-
- Formal Methods in Verification 6
- Computational Drug Discovery Methods 3
-
- Gene Regulatory Network Analysis 24
- Receptor Mechanisms and Signaling 11
- Microbial Metabolic Engineering and Bioproduction 4
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization 5
- Stability and Control of Uncertain Systems 3
-
- Molecular Communication and Nanonetworks 5
- Journals
- IEEE Transactions on Automatic Control (5 papers)Science China Information Sciences (4 papers)Nonlinear Analysis Hybrid Systems (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yongyuan Yu
28 papers receiving 461 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 150
- Computational Mathematics 4
- Molecular Biology 339
- Biophysics 22
- Control and Systems Engineering 87
Countries citing papers authored by Yongyuan Yu
This map shows the geographic impact of Yongyuan 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 Yongyuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongyuan Yu more than expected).
Fields of papers citing papers by Yongyuan Yu
This network shows the impact of papers produced by Yongyuan 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 Yongyuan Yu. The network helps show where Yongyuan Yu may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Yongyuan 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 61 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 16 | |
| 18 | 2018 | 27 | |
| 19 | 2018 | 98 | |
| 20 | Magnetic Field Variation in Squirrel-cage Induction Motor Operating on Asymmetric Rotor | 2011 | 1 |
About Yongyuan Yu
Yongyuan Yu is a scholar working on Computational Theory and Mathematics, Biophysics and Control and Systems Engineering, having authored 32 papers that have together received 465 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (24 papers), Receptor Mechanisms and Signaling (11 papers), Formal Methods in Verification (6 papers), Molecular Communication and Nanonetworks (5 papers), Advanced Control Systems Optimization (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Computational Drug Discovery Methods (3 papers) and Stability and Control of Uncertain Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (150 citations), Computational Mathematics (4 citations) and Molecular Biology (339 citations). Yongyuan Yu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun‐e Feng, Min Meng, Jun‐e Feng, Daizhan Cheng, Jinfeng Pan, Biao Wang, Peihe Wang, Ge Chen, Jianli Zhao and Yan Gao. Their work appears in journals such as IEEE Transactions on Automatic Control, Science China Information Sciences, Nonlinear Analysis Hybrid Systems, Journal of the Franklin Institute and Automatica.
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.