Yaning Lin
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Finance 15
- Stochastic processes and financial applications 15
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- Economic theories and models 8
- Co-authors
- Weihai Zhang (16 shared papers)Xiushan Jiang (2 shared papers)Tianliang Zhang (2 shared papers)Lingrong Xue (2 shared papers)Yong Zhao (1 shared paper)
- Journals
- Journal of the Franklin Institute (8 papers)Automatica (3 papers)IET Control Theory and Applications (2 papers)Journal of Computational and Applied Mathematics (2 papers)Journal of Optimization Theory and Applications (1 paper)
- Partner nations
- China
In The Last Decade
Yaning Lin
20 papers receiving 324 citations
Peers
Comparison fields: 5 of 43
- Finance 160
- Modeling and Simulation 59
- Control and Systems Engineering 138
- Computational Theory and Mathematics 69
- Management Science and Operations Research 49
Countries citing papers authored by Yaning Lin
This map shows the geographic impact of Yaning 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 Yaning Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaning Lin more than expected).
Fields of papers citing papers by Yaning Lin
This network shows the impact of papers produced by Yaning 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 Yaning Lin. The network helps show where Yaning Lin may publish in the future.
Co-authors
The 5 scholars most cited alongside Yaning 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2018 | 34 | |
| 3 | 2018 | 31 | |
| 4 | 2017 | 30 | |
| 5 | 2016 | 28 | |
| 6 | 2018 | 25 | |
| 7 | 2016 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 1 |
About Yaning Lin
Yaning Lin is a scholar working on Finance, Economics and Econometrics, Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 22 papers that have together received 328 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (15 papers), Economic theories and models (8 papers), Optimization and Variational Analysis (6 papers), Risk and Portfolio Optimization (5 papers), Advanced Control Systems Optimization (5 papers), Stability and Control of Uncertain Systems (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Finance (160 citations), Modeling and Simulation (59 citations), Control and Systems Engineering (138 citations), Computational Theory and Mathematics (69 citations) and Management Science and Operations Research (49 citations). Yaning Lin has collaborated with scholars based in China. Frequent co-authors include Weihai Zhang, Xiushan Jiang, Tianliang Zhang, Lingrong Xue and Yong Zhao. Their work appears in journals such as Journal of the Franklin Institute, Automatica, IET Control Theory and Applications, Journal of Computational and Applied Mathematics and Journal of Optimization Theory and Applications.
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.