Ruipeng Liu
- Economics and Econometrics top 2%
- Finance top 2%
- General Economics, Econometrics and Finance top 5%
- Renewable Energy, Sustainability and the Environment
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Paresh Kumar NarayanTiziana Di MatteoTomaso AsteJozef BaruníkJoakim WesterlundThomas LuxRangan GuptaSagarika Mishra
- Topics
- Market Dynamics and Volatility (14 papers)Financial Risk and Volatility Modeling (14 papers)Complex Systems and Time Series Analysis (12 papers)
- Partner nations
- AustraliaUnited KingdomSouth Africa
In The Last Decade
Ruipeng Liu
21 papers receiving 530 citations
Peers
Comparison fields: 5 of 39
- Economics and Econometrics 510
- Finance 271
- General Economics, Econometrics and Finance 160
- Renewable Energy, Sustainability and the Environment 67
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Ruipeng Liu
This map shows the geographic impact of Ruipeng Liu'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 Ruipeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruipeng Liu more than expected).
Fields of papers citing papers by Ruipeng Liu
This network shows the impact of papers produced by Ruipeng Liu. 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 Ruipeng Liu. The network helps show where Ruipeng Liu may publish in the future.
Co-authorship network of co-authors of Ruipeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ruipeng Liu. A scholar is included among the top collaborators of Ruipeng Liu 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 Ruipeng Liu. Ruipeng Liu 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 61 | |
| 13 | 8 | |
| 14 | Intraday dynamic hedging and futures market volatility | 1 |
| 15 | 33 | |
| 16 | 110 | |
| 17 | Higher dimensional multifractal processes : a GMM approach | 4 |
| 18 | 57 | |
| 19 | 46 | |
| 20 | 3 |
About Ruipeng Liu
Ruipeng Liu is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (14 papers), Financial Risk and Volatility Modeling (14 papers) and Complex Systems and Time Series Analysis (12 papers). The work is most often cited by research in Finance (271 citations), General Economics, Econometrics and Finance (160 citations) and Economics and Econometrics (510 citations). Ruipeng Liu has collaborated with scholars based in Australia, United Kingdom and South Africa. Frequent co-authors include Paresh Kumar Narayan, Tiziana Di Matteo, Tomaso Aste, Jozef Baruník, Joakim Westerlund, Thomas Lux, Thomas Lux, Rangan Gupta, Sagarika Mishra and Susan Sunila Sharma. Their work appears in journals such as Applied Energy, Energy Economics 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.