Libo Li
Impact in
- Finance top 10%
- Stochastic processes and financial applications
- Credit Risk and Financial Regulations
Papers in
- Finance 17
- Stochastic processes and financial applications 16
- Credit Risk and Financial Regulations 7
- Epidemiology 12
- Substance Abuse Treatment and Outcomes 10
- Co-authors
- Nina Mulia (6 shared papers)William C. Kerr (9 shared papers)Pavel V. Gapeev (3 shared papers)Camillia K. Lui (7 shared papers)Thomas K. Greenfield (6 shared papers)Edwina Williams (4 shared papers)Yu Ye (4 shared papers)E. Anne Lown (4 shared papers)
- Journals
- Preventive Medicine (2 papers)SIAM Journal on Financial Mathematics (2 papers)Stochastic Processes and their Applications (2 papers)BMC Public Health (2 papers)Alcohol and Alcoholism (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Libo Li
33 papers receiving 248 citations
Peers
Comparison fields: 5 of 85
- Finance 67
- General Decision Sciences 8
- Health 22
- General Health Professions 53
- Pathology and Forensic Medicine 36
Countries citing papers authored by Libo Li
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 34 | |
| 2 | 2019 | 25 | |
| 3 | 2017 | 23 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2011 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2008 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2023 | 5 |
About Libo Li
Libo Li is a scholar working on Finance, Epidemiology, Pathology and Forensic Medicine, Economics and Econometrics and General Health Professions, having authored 39 papers that have together received 261 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (16 papers), Alcohol Consumption and Health Effects (10 papers), Substance Abuse Treatment and Outcomes (10 papers), Credit Risk and Financial Regulations (7 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Stochastic processes and statistical mechanics (4 papers), Homelessness and Social Issues (4 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Finance (67 citations), General Decision Sciences (8 citations), Health (22 citations), General Health Professions (53 citations) and Pathology and Forensic Medicine (36 citations). Libo Li has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Nina Mulia, William C. Kerr, Pavel V. Gapeev, Camillia K. Lui, Thomas K. Greenfield, Edwina Williams, Yu Ye, E. Anne Lown, Marek Rutkowski and Peter M. Bentler. Their work appears in journals such as Preventive Medicine, SIAM Journal on Financial Mathematics, Stochastic Processes and their Applications, BMC Public Health and Alcohol and Alcoholism.
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.