An-Sing Chen

491 citations
8 papers · 373 · h-index 5

Impact in

    • Stock Market Forecasting Methods
    • Forecasting Techniques and Applications
    • Risk and Portfolio Optimization
  • Finance top 5%
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling

Papers in

    • Financial Markets and Investment Strategies 3
    • Financial Risk and Volatility Modeling 2
    • Capital Investment and Risk Analysis 1
    • Market Dynamics and Volatility 2
    • Complex Systems and Time Series Analysis 1

An-Sing Chen

8 papers receiving 346 citations

Peers

An-Sing Chen
Comparison fields: 5 of 35
  • Management Science and Operations Research 270
  • Finance 145
  • Economics and Econometrics 209
  • General Economics, Econometrics and Finance 36
  • Statistics and Probability 26
Replace Marco Corazza with:
Marco Corazza Italy
Michel Denault Canada
A.N. Refenes United Kingdom
Peter Nystrup Denmark
Julián Andrada Félix Spain
Xianhua Peng United States
Apostolos N. Refenes Greece
Andrey L. Vasnev Australia
Gabriel Vasconcelos Brazil
Cornelis A. Los United States
An-Sing Chen relative to Marco Corazza Italy Marco Corazza's profile →
Citations per field
00.5×1.5×
Marco Corazza · 1×
Citations per year

Countries citing papers authored by An-Sing Chen

Since Specialization
Citations

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

Fields of papers citing papers by An-Sing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An-Sing Chen. 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 An-Sing Chen. The network helps show where An-Sing Chen may publish in the future.

Co-authors

The 4 scholars most cited alongside An-Sing Chen, 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 An-Sing Chen Line = papers co-authored together An-Sing Chen links everyone, so they are left out of the graph.

All Works

About An-Sing Chen

An-Sing Chen is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Accounting and Strategy and Management, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (3 papers), Forecasting Techniques and Applications (2 papers), Financial Risk and Volatility Modeling (2 papers), Market Dynamics and Volatility (2 papers), Complex Systems and Time Series Analysis (1 paper), Capital Investment and Risk Analysis (1 paper), Financial Reporting and Valuation Research (1 paper) and Financial Literacy, Pension, Retirement Analysis (1 paper). The work is most often cited by research in Management Science and Operations Research (270 citations), Finance (145 citations), Economics and Econometrics (209 citations), General Economics, Econometrics and Finance (36 citations) and Statistics and Probability (26 citations). An-Sing Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Mark T. Leung, Hazem Daouk, James Lin and James S. Ang. Their work appears in journals such as Journal of Banking & Finance, International Journal of Forecasting, International Review of Financial Analysis, Quantitative Finance and European Journal of Operational Research.

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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