Liming Feng
- Finance top 2%
- Numerical Analysis top 10%
- Economics and Econometrics top 10%
- Demography top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Vadim LinetskyLin XiongJorge NocedalJian LiuJosé Luis MoralesJiming PengDaniel P. RobinsonJong‐Shi Pang
- Topics
- Stochastic processes and financial applications (19 papers)Financial Risk and Volatility Modeling (7 papers)Mathematical Biology Tumor Growth (3 papers)
- Cited by
- FinanceNumerical AnalysisDemography
- Journals
- European Journal of Operational ResearchOperations ResearchPhysica A Statistical Mechanics and its Applications
- Partner nations
- United StatesChinaMexico
In The Last Decade
Liming Feng
20 papers receiving 424 citations
Peers
Comparison fields: 5 of 40
- Finance 407
- Numerical Analysis 77
- Economics and Econometrics 73
- Demography 67
- Management Science and Operations Research 56
Countries citing papers authored by Liming Feng
This map shows the geographic impact of Liming Feng'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 Liming Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liming Feng more than expected).
Fields of papers citing papers by Liming Feng
This network shows the impact of papers produced by Liming Feng. 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 Liming Feng. The network helps show where Liming Feng may publish in the future.
Co-authorship network of co-authors of Liming Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Liming Feng. A scholar is included among the top collaborators of Liming Feng 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 Liming Feng. Liming Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 16 | |
| 8 | 32 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Quadratic Finite Element and Preconditioning for Options Pricing in the SVCJ Model | 1 |
| 12 | 2 | |
| 13 | On the Solution of Complementarity Problems Arising in American Options Pricing | 2 |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 53 | |
| 17 | Computing Exponential Moments of the Discrete Maximum of a Levy Process and Lookback Options | 6 |
| 18 | 145 | |
| 19 | Pricing Options in Jump-Diffusion Models: An Extrapolation Approach | 10 |
| 20 | 124 |
About Liming Feng
Liming Feng is a scholar working on Finance, Numerical Analysis and Modeling and Simulation, having authored 22 papers that have together received 458 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (19 papers), Financial Risk and Volatility Modeling (7 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Finance (407 citations), Numerical Analysis (77 citations) and Demography (67 citations). Liming Feng has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Vadim Linetsky, Lin Xiong, Jorge Nocedal, Jian Liu, José Luis Morales, Jiming Peng, Daniel P. Robinson, Jong‐Shi Pang, Renming Song and Pingping Jiang. Their work appears in journals such as European Journal of Operational Research, Operations Research and Physica A Statistical Mechanics and its 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.