Y.M. Chen
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
Papers in
-
- Fractional Differential Equations Solutions 27
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- Model Reduction and Neural Networks 8
- Chaos control and synchronization 8
- Co-authors
- J.K. Liu (20 shared papers)Jike Liu (17 shared papers)Zhong-Rong Lu (14 shared papers)Guang Meng (6 shared papers)Li Wang (6 shared papers)Can Cui (3 shared papers)Liu Guang (9 shared papers)Shengchang Cai (1 shared paper)
- Journals
- International Journal of Non-Linear Mechanics (6 papers)Communications in Nonlinear Science and Numerical Simulation (5 papers)Nonlinear Dynamics (5 papers)Journal of Computational and Nonlinear Dynamics (5 papers)Applied Mathematics and Computation (4 papers)
- Partner nations
- China
In The Last Decade
Y.M. Chen
70 papers receiving 742 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 169
- Numerical Analysis 79
- Statistics, Probability and Uncertainty 91
- Statistical and Nonlinear Physics 158
- Civil and Structural Engineering 246
Countries citing papers authored by Y.M. Chen
This map shows the geographic impact of Y.M. Chen'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 Y.M. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.M. Chen more than expected).
Fields of papers citing papers by Y.M. Chen
This network shows the impact of papers produced by Y.M. Chen. 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 Y.M. Chen. The network helps show where Y.M. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Y.M. Chen, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | 2008 | 42 | |
| 3 | 2011 | 37 | |
| 4 | 2016 | 33 | |
| 5 | 2014 | 31 | |
| 6 | 2008 | 31 | |
| 7 | 2014 | 29 | |
| 8 | 2012 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2020 | 25 | |
| 11 | 2015 | 23 | |
| 12 | 2024 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2009 | 20 | |
| 15 | 2008 | 20 | |
| 16 | 2018 | 18 | |
| 17 | 2009 | 18 | |
| 18 | 2020 | 16 | |
| 19 | 2017 | 14 | |
| 20 | 2016 | 14 |
About Y.M. Chen
Y.M. Chen is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Numerical Analysis, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 74 papers that have together received 753 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (27 papers), Probabilistic and Robust Engineering Design (14 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Numerical methods for differential equations (10 papers), Vibration and Dynamic Analysis (9 papers), Aeroelasticity and Vibration Control (9 papers), Model Reduction and Neural Networks (8 papers) and Chaos control and synchronization (8 papers). The work is most often cited by research in Modeling and Simulation (169 citations), Numerical Analysis (79 citations), Statistics, Probability and Uncertainty (91 citations), Statistical and Nonlinear Physics (158 citations) and Civil and Structural Engineering (246 citations). Y.M. Chen has collaborated with scholars based in China. Frequent co-authors include J.K. Liu, Jike Liu, Zhong-Rong Lu, Guang Meng, Li Wang, Can Cui, Liu Guang, Shengchang Cai, Hao Cui and Guowei Yang. Their work appears in journals such as International Journal of Non-Linear Mechanics, Communications in Nonlinear Science and Numerical Simulation, Nonlinear Dynamics, Journal of Computational and Nonlinear Dynamics and Applied Mathematics and Computation.
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.