Dan-Yu Yang
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
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- Nonlinear Waves and Solitons 33
- Nonlinear Photonic Systems 32
-
- Advanced Fiber Laser Technologies 12
- Co-authors
- Bo Tian (18 shared papers)Qi‐Xing Qu (8 shared papers)Wen‐Rui Shan (7 shared papers)Bo Tian (10 shared papers)Yan Jiang (5 shared papers)He‐Yuan Tian (7 shared papers)Su‐Su Chen (5 shared papers)Xin Zhao (3 shared papers)
- Journals
- Chaos Solitons & Fractals (4 papers)Nonlinear Dynamics (4 papers)Qualitative Theory of Dynamical Systems (3 papers)Physics Letters A (1 paper)China Ocean Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dan-Yu Yang
31 papers receiving 680 citations
Peers
Comparison fields: 5 of 31
- Statistical and Nonlinear Physics 657
- Modeling and Simulation 182
- Mathematical Physics 96
- Geometry and Topology 77
- Numerical Analysis 42
Countries citing papers authored by Dan-Yu Yang
This map shows the geographic impact of Dan-Yu Yang'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 Dan-Yu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan-Yu Yang more than expected).
Fields of papers citing papers by Dan-Yu Yang
This network shows the impact of papers produced by Dan-Yu Yang. 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 Dan-Yu Yang. The network helps show where Dan-Yu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan-Yu Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2022 | 62 | |
| 3 | 2021 | 58 | |
| 4 | 2022 | 51 | |
| 5 | 2023 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 30 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 25 | |
| 12 | 2023 | 23 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2022 | 16 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Dan-Yu Yang
Dan-Yu Yang is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Modeling and Simulation, Mathematical Physics and Geometry and Topology, having authored 33 papers that have together received 685 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (33 papers), Nonlinear Photonic Systems (32 papers), Advanced Fiber Laser Technologies (12 papers), Fractional Differential Equations Solutions (8 papers), Advanced Mathematical Physics Problems (6 papers), Advanced Differential Equations and Dynamical Systems (2 papers), Algebraic structures and combinatorial models (2 papers) and Photonic Crystal and Fiber Optics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (657 citations), Modeling and Simulation (182 citations), Mathematical Physics (96 citations), Geometry and Topology (77 citations) and Numerical Analysis (42 citations). Dan-Yu Yang has collaborated with scholars based in China and United States. Frequent co-authors include Bo Tian, Qi‐Xing Qu, Wen‐Rui Shan, Bo Tian, Yan Jiang, He‐Yuan Tian, Su‐Su Chen, Xin Zhao, Chen-Rong Zhang and Xiao-Tian Gao. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, Qualitative Theory of Dynamical Systems, Physics Letters A and China Ocean Engineering.
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.