Baojun Bian

424 citations
34 papers · 261 indexed · h-index 10

Baojun Bian

31 papers receiving 231 citations

Peers

Baojun Bian
Comparison fields: 5 of 45
  • Finance 136
  • Applied Mathematics 99
  • Geometry and Topology 36
  • Mathematical Physics 35
  • Management Science and Operations Research 44
Replace Ivar Massabó with:
Ivar Massabó Italy
Lucia Caramellino Italy
Johan Tysk Sweden
Anthony Réveillac France
Hacène Djellout France
Rimas Norvaiša Lithuania
Jean Michel Lasry France
Marc Henrard United Kingdom
Ely Merzbach Israel
Jean -Michel Bismut France
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Citations per field
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Citations per year

Countries citing papers authored by Baojun Bian

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Baojun Bian, 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 Baojun Bian Line = papers co-authored together Baojun Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20201
2 20181
3 20181
4 201419
5 20141
6 20131
7 20133
8 20125
9 20117
10
Trends in partial differential equations
201021
11 20101
12 20104
13 200960
14 20086
15
Pricing Corporate Bonds with Both Expected and Unexpected Defaults
20072
16 200713
17 200514
18 200517
19 20010
20 20001

About Baojun Bian

Baojun Bian is a scholar working on Finance, Applied Mathematics, Management Science and Operations Research, Mathematical Physics and Computational Theory and Mathematics, having authored 34 papers that have together received 261 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (26 papers), Economic theories and models (9 papers), Financial Markets and Investment Strategies (7 papers), Advanced Mathematical Modeling in Engineering (6 papers), Nonlinear Partial Differential Equations (6 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Risk and Portfolio Optimization (4 papers) and Credit Risk and Financial Regulations (3 papers). The work is most often cited by research in Finance (136 citations), Applied Mathematics (99 citations), Geometry and Topology (36 citations), Mathematical Physics (35 citations) and Management Science and Operations Research (44 citations). Baojun Bian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Pengfei Guan, Harry Zheng, Lishang Jiang, Sheng Miao, Shenghong Li, Xu‐Jia Wang, Fahuai Yi, Xinfu Chen, Xiaosong Qian and Bei Hu. Their work appears in journals such as Journal of Optimization Theory and Applications, Discrete and Continuous Dynamical Systems - B, European Journal of Applied Mathematics, SIAM Journal on Financial Mathematics and Discrete and Continuous Dynamical Systems.

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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