Yutian Li
- Molecular Biology
- Electrical and Electronic Engineering
- Numerical Analysis top 10%
- Modeling and Simulation top 5%
- Applied Mathematics top 10%
- Co-authors
- Xu GuoHong WangН. Ф. АвроваMakoto KisoMing‐Yi ChouSing‐Chung LiDer‐Chen ChangAkira Hasegawa
- Topics
- Stochastic processes and financial applications (7 papers)Fractional Differential Equations Solutions (6 papers)Mathematical functions and polynomials (6 papers)
- Journals
- Journal of Biological ChemistryJournal of Computational PhysicsACS Applied Materials & Interfaces
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yutian Li
55 papers receiving 277 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 64
- Electrical and Electronic Engineering 56
- Numerical Analysis 50
- Modeling and Simulation 47
- Applied Mathematics 41
Countries citing papers authored by Yutian Li
This map shows the geographic impact of Yutian Li'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 Yutian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutian Li more than expected).
Fields of papers citing papers by Yutian Li
This network shows the impact of papers produced by Yutian Li. 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 Yutian Li. The network helps show where Yutian Li may publish in the future.
Co-authorship network of co-authors of Yutian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yutian Li. A scholar is included among the top collaborators of Yutian Li 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 Yutian Li. Yutian Li 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 3 Linear Difference Equations with a Transition Point at the Origin | 5 |
| 18 | 5 | |
| 19 | ON HEAT KERNELS OF A CLASS OF DEGENERATE ELLIPTIC OPERATORS | 2 |
| 20 | 11 |
About Yutian Li
Yutian Li is a scholar working on Applied Mathematics, Modeling and Simulation and Numerical Analysis, having authored 65 papers that have together received 286 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Fractional Differential Equations Solutions (6 papers) and Mathematical functions and polynomials (6 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Numerical Analysis (50 citations) and Applied Mathematics (41 citations). Yutian Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xu Guo, Hong Wang, Н. Ф. Аврова, Makoto Kiso, Ming‐Yi Chou, Sing‐Chung Li, Der‐Chen Chang, Akira Hasegawa, Baoyong Chi and Zheng Song. Their work appears in journals such as Journal of Biological Chemistry, Journal of Computational Physics and ACS Applied Materials & Interfaces.
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.