Guang‐Ren Duan
- Control and Systems Engineering top 0.02%
- Computational Theory and Mathematics top 0.05%
- Aerospace Engineering top 0.2%
- Computer Networks and Communications top 0.5%
- Numerical Analysis top 0.2%
- Topics
- Stability and Control of Uncertain Systems (365 papers)Adaptive Control of Nonlinear Systems (296 papers)Matrix Theory and Algorithms (144 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Industrial ElectronicsAutomatica
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Guang‐Ren Duan
674 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Control and Systems Engineering 10.5k
- Computational Theory and Mathematics 3.3k
- Aerospace Engineering 2.4k
- Computer Networks and Communications 2.0k
- Numerical Analysis 1.6k
Countries citing papers authored by Guang‐Ren Duan
This map shows the geographic impact of Guang‐Ren Duan'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 Guang‐Ren Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang‐Ren Duan more than expected).
Fields of papers citing papers by Guang‐Ren Duan
This network shows the impact of papers produced by Guang‐Ren Duan. 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 Guang‐Ren Duan. The network helps show where Guang‐Ren Duan may publish in the future.
Co-authorship network of co-authors of Guang‐Ren Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Ren Duan. A scholar is included among the top collaborators of Guang‐Ren Duan 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 Guang‐Ren Duan. Guang‐Ren Duan 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 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 41 | |
| 16 | 27 | |
| 17 | 75 | |
| 18 | 99 | |
| 19 | 5 | |
| 20 | On-line reentry trajectory optimization of hypersonic vehicle based on improved Gauss pseudospectral method | 2 |
About Guang‐Ren Duan
Guang‐Ren Duan is a scholar working on Control and Systems Engineering, Numerical Analysis and Computational Theory and Mathematics, having authored 730 papers that have together received 13.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (365 papers), Adaptive Control of Nonlinear Systems (296 papers) and Matrix Theory and Algorithms (144 papers). The work is most often cited by research in Control and Systems Engineering (10.5k citations), Numerical Analysis (1.6k citations) and Computational Theory and Mathematics (3.3k citations). Guang‐Ren Duan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Bin Zhou, Mingzhe Hou, Ai‐Guo Wu, Zongli Lin, Shuai Liu, Ron J. Patton, Zhao‐Yan Li, Feng Zhang, James Lam and Haihua Yu. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics 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.