Libo Li

479 citations
43 papers · 295 · h-index 11

Impact in

  • Finance top 10%
    • Stochastic processes and financial applications
    • Credit Risk and Financial Regulations
    • Financial Risk and Volatility Modeling

Papers in

    • Stochastic processes and financial applications 19
    • Credit Risk and Financial Regulations 9
    • Banking stability, regulation, efficiency 4
    • Economic theories and models 5

Libo Li

36 papers receiving 280 citations

Peers

Libo Li
Comparison fields: 5 of 80
  • Finance 85
  • General Decision Sciences 8
  • Demography 24
  • Management Science and Operations Research 25
  • Health 13
Replace Susanne Mayer with:
Susanne Mayer Austria
Mike Smet Belgium
Philip Howard United Kingdom
Takashi Funatogawa Japan
Kelly L. Schuller United States
Silvia Faggian Italy
Mevhibe Hocaoğlu United Kingdom
Lele Chen China
Yanhua Wu China
Nanly Hsu Taiwan
Libo Li relative to Susanne Mayer Austria Susanne Mayer's profile →
Citations per field
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Susanne Mayer · 1×
Citations per year

Countries citing papers authored by Libo Li

Since Specialization
Citations

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

Fields of papers citing papers by Libo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Libo Li, 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 Libo Li Line = papers co-authored together Libo Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201928
3 201724
4 202117
5 201915
6 201812
7 202012
8 201111
9 202210
10 201610
11 201010
12 20209
13 20219
14 20089
15 20148
16 20208
17 20127
18 20197
19 20186
20 20206

About Libo Li

Libo Li is a scholar working on Finance, Economics and Econometrics, Epidemiology, Pathology and Forensic Medicine and Mathematical Physics, having authored 43 papers that have together received 295 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (19 papers), Credit Risk and Financial Regulations (9 papers), Substance Abuse Treatment and Outcomes (7 papers), Alcohol Consumption and Health Effects (7 papers), Economic theories and models (5 papers), Banking stability, regulation, efficiency (4 papers), Insurance, Mortality, Demography, Risk Management (4 papers) and Stochastic processes and statistical mechanics (4 papers). The work is most often cited by research in Finance (85 citations), General Decision Sciences (8 citations), Demography (24 citations), Management Science and Operations Research (25 citations) and Health (13 citations). Libo Li has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Nina Mulia, Pavel V. Gapeev, William C. Kerr, Marek Rutkowski, Camillia K. Lui, Thomas K. Greenfield, Edwina Williams, E. Anne Lown, Yu Ye and Monique Jeanblanc. Their work appears in journals such as SIAM Journal on Financial Mathematics, Preventive Medicine, Electronic Journal of Probability, Alcohol and Alcoholism and BMC Public Health.

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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