Yanlin Shi

1.0k citations
82 papers · 711 indexed · h-index 13
Topics
Market Dynamics and Volatility (38 papers)Financial Risk and Volatility Modeling (35 papers)Insurance, Mortality, Demography, Risk Management (23 papers)
Partner nations
AustraliaChinaCanada

In The Last Decade

Yanlin Shi

77 papers receiving 686 citations

Peers

Yanlin Shi
Comparison fields: 5 of 89
  • Economics and Econometrics 452
  • Finance 364
  • Demography 137
  • Management Science and Operations Research 119
  • General Health Professions 103
Replace Ekaterini Panopoulou with:
Ekaterini Panopoulou Greece
Mei Choi Chiu Hong Kong
Julien Hugonnier Switzerland
Katja Ignatieva Australia
Pauline Barrieu United Kingdom
Roberto León‐González Japan
Artem Prokhorov Australia
Haitao Li United States
Yanlin Shi relative to Ekaterini Panopoulou Greece Ekaterini Panopoulou's profile →
Citations per field
00.5×4.4×
Ekaterini Panopoulou · 1×
Citations per year

Countries citing papers authored by Yanlin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yanlin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlin Shi. A scholar is included among the top collaborators of Yanlin Shi 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 Yanlin Shi. Yanlin Shi 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 3
4 2
5 1
6 1
7 5
8 11
9 2
10 2
11 4
12 3
13 27
14
Long-memory in volatilities of CDS spreads: Evidences from the emerging markets
7
15 42
16 22
17
A Subband Switching Coherent Detector in Non-Stationary Sea Clutter
2
18 1
19 26
20
Fabrication and characteristic of Si-micromachined transmission line
1

About Yanlin Shi

Yanlin Shi is a scholar working on Finance, Demography and Economics and Econometrics, having authored 82 papers that have together received 711 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (38 papers), Financial Risk and Volatility Modeling (35 papers) and Insurance, Mortality, Demography, Risk Management (23 papers). The work is most often cited by research in Finance (364 citations), Economics and Econometrics (452 citations) and General Economics, Econometrics and Finance (99 citations). Yanlin Shi has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Zhaoyong Zhang, Kin‐Yip Ho, Hong Li, James Raymer, Tom Wilson, Shengwang Meng, Bernard Baffour, Samet Günay, He Wang and Tong Fu. Their work appears in journals such as Scientific Reports, Annals of the Rheumatic Diseases and Journal of Banking & Finance.

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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