Junna Bi

425 citations
19 papers · 318 · h-index 10

Impact in

  • Demography top 2%
    • Insurance, Mortality, Demography, Risk Management
  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling

Papers in

    • Stochastic processes and financial applications 15
    • Financial Risk and Volatility Modeling 1
    • Insurance, Mortality, Demography, Risk Management 15

Junna Bi

19 papers receiving 297 citations

Peers

Junna Bi
Comparison fields: 5 of 27
  • Demography 239
  • Finance 191
  • Management Science and Operations Research 195
  • Economics and Econometrics 202
  • General Decision Sciences 7
Replace Ailing Gu with:
Ailing Gu China
Zongxia Liang China
Mitja Stadje Germany
Lihua Bai China
Maria de Lourdes Centeno Portugal
Fulvio Ortu Italy
Peter Hieber Germany
Philippe Bertrand France
Ximin Rong China
Roland Portait France
Junna Bi relative to Ailing Gu China Ailing Gu's profile →
Citations per field
00.5×1.5×1.8×
Ailing Gu · 1×
Citations per year

Countries citing papers authored by Junna Bi

Since Specialization
Citations

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

Fields of papers citing papers by Junna Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Junna Bi, 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 Junna Bi Line = papers co-authored together Junna Bi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201253
2 201644
3 201340
4 201840
5 201639
6 201833
7 202116
8 202013
9 201911
10 201910
11 20115
12 20093
13 20212
14 20152
15 20162
16 20172
17 20111
18 20191
19 20211

About Junna Bi

Junna Bi is a scholar working on Finance, Demography, Management Science and Operations Research, Economics and Econometrics and Mathematical Physics, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (15 papers), Insurance, Mortality, Demography, Risk Management (15 papers), Insurance and Financial Risk Management (9 papers), Probability and Risk Models (8 papers), Risk and Portfolio Optimization (5 papers), Economic theories and models (2 papers), Financial Risk and Volatility Modeling (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Demography (239 citations), Finance (191 citations), Management Science and Operations Research (195 citations), Economics and Econometrics (202 citations) and General Decision Sciences (7 citations). Junna Bi has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Junyi Guo, Qingbin Meng, Zhibin Liang, Jun Cai, Kam Chuen Yuen, Hanqing Jin, Danping Li, Yan Zeng, Lihua Bai and Xin Zhang. Their work appears in journals such as Annals of Operations Research, Mathematical Methods of Operations Research, Insurance Mathematics and Economics, Journal of Optimization Theory and Applications and Journal of Theoretical 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.

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