Chi-Tien Lin
Impact in
- Modeling and Simulation top 2%
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
-
- Differential Equations and Numerical Methods 3
-
- Nonlinear Differential Equations Analysis 2
- Co-authors
- Chi-Kun Lin (3 shared papers)Ming Mei (3 shared papers)Eitan Tadmor (2 shared papers)Alexander Kurganov (1 shared paper)Joseph W.-H. So (2 shared papers)Yanping Lin (1 shared paper)Li-Hua Li (2 shared papers)Bruce R. Hamaker (1 shared paper)
- Journals
- Journal of Differential Equations (2 papers)SIAM Journal on Mathematical Analysis (1 paper)Communications in Computational Physics (1 paper)SIAM Journal on Scientific Computing (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chi-Tien Lin
10 papers receiving 517 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 134
- Numerical Analysis 134
- Applied Mathematics 179
- Computational Mechanics 200
- Public Health, Environmental and Occupational Health 239
Countries citing papers authored by Chi-Tien Lin
This map shows the geographic impact of Chi-Tien Lin'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 Chi-Tien Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Tien Lin more than expected).
Fields of papers citing papers by Chi-Tien Lin
This network shows the impact of papers produced by Chi-Tien Lin. 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 Chi-Tien Lin. The network helps show where Chi-Tien Lin may publish in the future.
Co-authors
The 12 scholars most cited alongside Chi-Tien Lin, 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 | 2007 | 120 | |
| 2 | 2009 | 112 | |
| 3 | 2009 | 112 | |
| 4 | 2000 | 70 | |
| 5 | 2014 | 63 | |
| 6 | 2001 | 53 | |
| 7 | 2014 | 18 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 1994 | 1 |
About Chi-Tien Lin
Chi-Tien Lin is a scholar working on Numerical Analysis, Applied Mathematics, Modeling and Simulation, Management Information Systems and Computational Mechanics, having authored 10 papers that have together received 559 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Imbalanced Data Classification Techniques (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Nonlinear Differential Equations Analysis (2 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Numerical Analysis (134 citations), Applied Mathematics (179 citations), Computational Mechanics (200 citations) and Public Health, Environmental and Occupational Health (239 citations). Chi-Tien Lin has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chi-Kun Lin, Ming Mei, Eitan Tadmor, Alexander Kurganov, Joseph W.-H. So, Yanping Lin, Li-Hua Li, Bruce R. Hamaker, Zihua Ao and Roberto Quezada‐Calvillo. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Mathematical Analysis, Communications in Computational Physics, SIAM Journal on Scientific Computing and Carbohydrate Polymers.
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.