Yao‐Lin Jiang
- Numerical Analysis top 0.5%
- Numerical methods for differential equations 134
- Differential Equations and Numerical Methods 39
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions 30
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks 108
- Computational Mathematics top 5%
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- Probabilistic and Robust Engineering Design 29
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- Electromagnetic Simulation and Numerical Methods 49
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- Advanced Numerical Methods in Computational Mathematics 43
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- Matrix Theory and Algorithms 40
- Journals
- Applied Mathematics and Computation (15 papers)Journal of the Franklin Institute (14 papers)Computers & Mathematics with Applications (11 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yao‐Lin Jiang
254 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Numerical Analysis 1.0k
- Modeling and Simulation 833
- Statistical and Nonlinear Physics 1.4k
- Computational Mathematics 41
- Statistics, Probability and Uncertainty 225
Countries citing papers authored by Yao‐Lin Jiang
This map shows the geographic impact of Yao‐Lin Jiang'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 Yao‐Lin Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Lin Jiang more than expected).
Fields of papers citing papers by Yao‐Lin Jiang
This network shows the impact of papers produced by Yao‐Lin Jiang. 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 Yao‐Lin Jiang. The network helps show where Yao‐Lin Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao‐Lin Jiang, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 5 | |
| 18 | Dynamic Equations of Generalized Eigenvalue Problems | 2002 | 1 |
| 19 | A Parallel Approach for Computing Complex Eigenvalue Problems | 2000 | 7 |
| 20 | On the Spectra of Waveform Relaxation Operators for Circuit Equations | 1998 | 5 |
About Yao‐Lin Jiang
Yao‐Lin Jiang is a scholar working on Numerical Analysis, Computational Mathematics and Statistical and Nonlinear Physics, having authored 283 papers that have together received 3.0k indexed citations. Recurring topics across this work include Numerical methods for differential equations (134 papers), Model Reduction and Neural Networks (108 papers), Electromagnetic Simulation and Numerical Methods (49 papers), Advanced Numerical Methods in Computational Mathematics (43 papers), Matrix Theory and Algorithms (40 papers), Differential Equations and Numerical Methods (39 papers), Fractional Differential Equations Solutions (30 papers) and Probabilistic and Robust Engineering Design (29 papers). The work is most often cited by research in Numerical Analysis (1.0k citations), Modeling and Simulation (833 citations) and Statistical and Nonlinear Physics (1.4k citations). Yao‐Lin Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hongli Li, Zhidong Teng, Cheng Hu, Long Zhang, Kang Xu, Xiaoli Ding, Guojun Peng, Zuolei Wang, Hai‐Bao Chen and Fang Chen. Their work appears in journals such as Applied Mathematics and Computation, Journal of the Franklin Institute, Computers & Mathematics with Applications, Numerical Algorithms and International Journal of Systems Science.
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.