Jin Liang

689 citations
58 papers · 471 indexed · h-index 11
Topics
Stochastic processes and financial applications (33 papers)Credit Risk and Financial Regulations (30 papers)Banking stability, regulation, efficiency (12 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaScience Advances
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Jin Liang

51 papers receiving 419 citations

Peers

Jin Liang
Comparison fields: 5 of 71
  • Finance 215
  • Control and Systems Engineering 107
  • Economics and Econometrics 69
  • Computational Theory and Mathematics 67
  • Artificial Intelligence 49
Replace Qingshuo Song with:
Qingshuo Song United States
Lishang Jiang China
Ivar Massabó Italy
Richard H. Stockbridge United States
Thilo Meyer‐Brandis Norway
U Jin Choi South Korea
Fabio Antonelli Italy
José‐Luis Menaldi United States
Nigel J. Newton United Kingdom
Jin Liang relative to Qingshuo Song United States Qingshuo Song's profile →
Citations per field
00.5×12.3×
Qingshuo Song · 1×
Citations per year

Countries citing papers authored by Jin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Liang. A scholar is included among the top collaborators of Jin Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Liang. Jin Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 0
6 2
7 7
8 14
9 16
10 115
11 20
12 1
13 4
14 3
15
Valuation of mortgage loan CDS
2
16
The Limitation and Efficiency of Formula Solution for Basket Default Swap Based on Vasicek Model
5
17 20
18
Valuation of basket credit default swaps by partial differential equation method
3
19
Valuation of credit default swap
0
20 2

About Jin Liang

Jin Liang is a scholar working on Finance, Computational Theory and Mathematics and Applied Mathematics, having authored 58 papers that have together received 471 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (33 papers), Credit Risk and Financial Regulations (30 papers) and Banking stability, regulation, efficiency (12 papers). The work is most often cited by research in Finance (215 citations), Numerical Analysis (29 citations) and Control and Systems Engineering (107 citations). Jin Liang has collaborated with scholars based in China, United States and France. Frequent co-authors include Bei Hu, Yuan Wu, Zhiming Chen, K. H. Hoffmann, Minghu Wu, Yinhua Xia, Yan Li, Xiangkui Wan, Lishang Jiang and Xinfu Chen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Science Advances.

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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