Shaolin Ji

1.6k citations
59 papers · 783 · h-index 15

Impact in

Papers in

Shaolin Ji

53 papers receiving 722 citations

Peers

Shaolin Ji
Comparison fields: 5 of 70
  • Finance 635
  • Management Science and Operations Research 360
  • Demography 211
  • General Decision Sciences 22
  • Modeling and Simulation 46
Replace Bruno Bouchard with:
Bruno Bouchard France
Dylan Possamaï France
Huyên Pham France
Marcel Nutz United States
Alexander S. Cherny Russia
X.Y. Zhou Hong Kong
Mingshang Hu China
Łukasz Delong Poland
Giulia Di Nunno Norway
Knut K. Aase Norway
Shaolin Ji relative to Bruno Bouchard France Bruno Bouchard's profile →
Citations per field
00.5×1.5×2.5×
Bruno Bouchard · 1×
Citations per year

Countries citing papers authored by Shaolin Ji

Since Specialization
Citations

This map shows the geographic impact of Shaolin 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 Shaolin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Ji more than expected).

Fields of papers citing papers by Shaolin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaolin 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 Shaolin Ji. The network helps show where Shaolin Ji may publish in the future.

Co-authors

The 23 scholars most cited alongside Shaolin Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaolin Ji Line = papers co-authored together Shaolin Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013123
2 201390
3 201383
4 201378
5 200653
6 202039
7 201836
8 201426
9 201225
10 201622
11 201421
12 201619
13 200715
14 200815
15 201314
16 200913
17 20219
18 20178
19 20198
20 20227

About Shaolin Ji

Shaolin Ji is a scholar working on Finance, Management Science and Operations Research, Economics and Econometrics, Demography and Statistics and Probability, having authored 59 papers that have together received 783 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (44 papers), Risk and Portfolio Optimization (24 papers), Insurance, Mortality, Demography, Risk Management (15 papers), Economic theories and models (10 papers), Financial Risk and Volatility Modeling (9 papers), Fuzzy Systems and Optimization (5 papers), Probability and Risk Models (4 papers) and Climate Change Policy and Economics (4 papers). The work is most often cited by research in Finance (635 citations), Management Science and Operations Research (360 citations), Demography (211 citations), General Decision Sciences (22 citations) and Modeling and Simulation (46 citations). Shaolin Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Larry G. Epstein, Mingshang Hu, Shigē Péng, Yongsheng Song, Xun Yu Zhou, Zhiyong Yu, Yue Mu, Jing Hao, Jiayuan Sun and Hongsheng Zhang. Their work appears in journals such as SIAM Journal on Control and Optimization, Stochastic Processes and their Applications, ESAIM Control Optimisation and Calculus of Variations, Journal of Mathematical Analysis and Applications and Optimal Control Applications and Methods.

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.

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