An‐Sing Chen

2.6k citations
58 papers · 1.9k · h-index 19

Impact in

Papers in

An‐Sing Chen

58 papers receiving 1.8k citations

Peers

An‐Sing Chen
Comparison fields: 5 of 128
  • Management Science and Operations Research 992
  • Finance 468
  • Economics and Econometrics 686
  • Accounting 203
  • General Economics, Econometrics and Finance 131
Replace William Remus with:
William Remus United States
Niklas Karlsson Sweden
Don N. Kleinmuntz United States
Mathias Kraus Germany
Soushan Wu Taiwan
Adriano C. M. Pereira Brazil
Monica Adya United States
Martin Spindler Germany
Peter Lenk United States
Germán Molina United States
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Citations per field
00.5×6.5×
William Remus · 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 23 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

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002392
2 2000302
3 2000180
4 2019158
5 2003124
6 201385
7 200176
8 200160
9 199951
10 201047
11 201834
12 200432
13 200632
14 200531
15 201328
16 201421
17 201520
18 200318
19 200218
20 201516

About An‐Sing Chen

An‐Sing Chen is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Accounting and General Economics, Econometrics and Finance, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (24 papers), Market Dynamics and Volatility (18 papers), Corporate Finance and Governance (14 papers), Stock Market Forecasting Methods (13 papers), Financial Risk and Volatility Modeling (11 papers), Forecasting Techniques and Applications (8 papers), Auditing, Earnings Management, Governance (8 papers) and Monetary Policy and Economic Impact (8 papers). The work is most often cited by research in Management Science and Operations Research (992 citations), Finance (468 citations), Economics and Econometrics (686 citations), Accounting (203 citations) and General Economics, Econometrics and Finance (131 citations). An‐Sing Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mark T. Leung, Hazem Daouk, Shu Ching Yang, Yi-Fang Luo, Chia‐Mei Lu, Chiao Ling Huang, James Lin, Kuang‐Fu Cheng, Chia-Hsun Chiang and Pi‐Hsia Hung. Their work appears in journals such as Journal of Banking & Finance, Computers & Operations Research, Journal of Educational Computing Research, International Review of Financial Analysis and The North American Journal of Economics and 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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