Tian‐Shyr Dai

477 citations
47 papers · 304 indexed · h-index 10
  • Finance top 5%
    • Stochastic processes and financial applications 28
    • Financial Markets and Investment Strategies 16
    • Credit Risk and Financial Regulations 13
    • Financial Risk and Volatility Modeling 8
    • Banking stability, regulation, efficiency 7
  • Demography top 10%
    • Insurance, Mortality, Demography, Risk Management 5
    • Stock Market Forecasting Methods 7
    • Complex Systems and Time Series Analysis 6

Tian‐Shyr Dai

43 papers receiving 288 citations

Peers

Tian‐Shyr Dai
Comparison fields: 5 of 41
  • Finance 218
  • Demography 64
  • Management Science and Operations Research 54
  • Accounting 35
  • Economics and Econometrics 80
Replace Daniele Marazzina with:
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Tian‐Shyr Dai relative to Daniele Marazzina Italy Daniele Marazzina's profile →
Citations per field
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Daniele Marazzina · 1×
Citations per year

Countries citing papers authored by Tian‐Shyr Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tian‐Shyr Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian‐Shyr Dai. 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 Tian‐Shyr Dai. The network helps show where Tian‐Shyr Dai may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Tian‐Shyr Dai, 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 Tian‐Shyr Dai Line = papers co-authored together Tian‐Shyr Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20247
3 20230
4 20222
5 20221
6 20220
7 20220
8 20226
9 20227
10 20221
11 202117
12 20201
13 201212
14 20116
15 20105
16 200810
17 20079
18
A hybrid fingerprint enhancement algorithm
20063
19 20042
20 20028

About Tian‐Shyr Dai

Tian‐Shyr Dai is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics, having authored 47 papers that have together received 304 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (28 papers), Financial Markets and Investment Strategies (16 papers), Credit Risk and Financial Regulations (13 papers), Financial Risk and Volatility Modeling (8 papers), Stock Market Forecasting Methods (7 papers), Banking stability, regulation, efficiency (7 papers), Complex Systems and Time Series Analysis (6 papers) and Insurance, Mortality, Demography, Risk Management (5 papers). The work is most often cited by research in Finance (218 citations), Demography (64 citations) and Management Science and Operations Research (54 citations). Tian‐Shyr Dai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yuh‐Dauh Lyuu, Sharon S. Yang, Liang‐Chih Liu, Chuan‐Ju Wang, Pu Liu, Wayne Lee, Yi-Feng Chen, Ying-ping Chen, Schahram Dustdar and Jiun‐Long Huang. Their work appears in journals such as Scientific Reports, European Journal of Operational Research and Expert Systems with Applications.

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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