Lanpeng Ji
- Finance top 5%
- Management Science and Operations Research top 2%
- Demography top 5%
- Mathematical Physics top 10%
- Statistics and Probability top 5%
- Co-authors
- Enkelejd HashorvaKrzysztof DȩbickiChunsheng ZhangPeng LiuV. I. PiterbargCorina ConstantinescuStephan RobertTomasz Rolski
- Topics
- Financial Risk and Volatility Modeling (26 papers)Probability and Risk Models (26 papers)Stochastic processes and financial applications (15 papers)
- Journals
- Transactions of the American Mathematical SocietyJournal of Computational and Applied MathematicsJournal of Applied Probability
- Partner nations
- SwitzerlandPolandUnited Kingdom
In The Last Decade
Lanpeng Ji
32 papers receiving 310 citations
Peers
Comparison fields: 5 of 25
- Finance 241
- Management Science and Operations Research 222
- Demography 104
- Mathematical Physics 72
- Statistics and Probability 64
Countries citing papers authored by Lanpeng Ji
This map shows the geographic impact of Lanpeng Ji'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 Lanpeng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanpeng Ji more than expected).
Fields of papers citing papers by Lanpeng Ji
This network shows the impact of papers produced by Lanpeng Ji. 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 Lanpeng Ji. The network helps show where Lanpeng Ji may publish in the future.
Co-authorship network of co-authors of Lanpeng Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Lanpeng Ji. A scholar is included among the top collaborators of Lanpeng Ji 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 Lanpeng Ji. Lanpeng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | Extremes of Chi-square Processes with Trend | 4 |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 22 | |
| 15 | 20 | |
| 16 | 26 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 13 |
About Lanpeng Ji
Lanpeng Ji is a scholar working on Finance, Management Science and Operations Research and Mathematical Physics, having authored 36 papers that have together received 319 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (26 papers), Probability and Risk Models (26 papers) and Stochastic processes and financial applications (15 papers). The work is most often cited by research in Finance (241 citations), Management Science and Operations Research (222 citations) and Demography (104 citations). Lanpeng Ji has collaborated with scholars based in Switzerland, Poland and United Kingdom. Frequent co-authors include Enkelejd Hashorva, Krzysztof Dȩbicki, Chunsheng Zhang, Peng Liu, V. I. Piterbarg, Corina Constantinescu, Stephan Robert, Tomasz Rolski, J.M.P. Albin and Charles Taylor. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Computational and Applied Mathematics and Journal of Applied Probability.
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.