An‐Sing Chen

2.1k citations
49 papers · 1.4k · h-index 16

Impact in

Papers in

An‐Sing Chen

49 papers receiving 1.3k citations

Peers

An‐Sing Chen
Comparison fields: 5 of 132
  • Management Science and Operations Research 642
  • Finance 295
  • Economics and Econometrics 431
  • Accounting 175
  • Human-Computer Interaction 84
Replace Shu‐Heng Chen with:
Shu‐Heng Chen Taiwan
Niklas Karlsson Sweden
Joseph Johnson United States
Martin Spindler Germany
Germán Molina United States
Monica Adya United States
Sangwon Lee South Korea
Peter Lenk United States
Dries F. Benoit Belgium
Qing Zhu China
An‐Sing Chen relative to Shu‐Heng Chen Taiwan Shu‐Heng Chen's profile →
Citations per field
00.5×9.3×
Shu‐Heng Chen · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002349
2 2000158
3 2019143
4 2003102
5 201374
6 200173
7 199948
8 201045
9 200432
10 201831
11 200631
12 201327
13 200524
14 201421
15 201520
16 200216
17 201415
18 201015
19 201514
20 199914

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 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (21 papers), Market Dynamics and Volatility (16 papers), Corporate Finance and Governance (13 papers), Stock Market Forecasting Methods (12 papers), Financial Risk and Volatility Modeling (9 papers), Auditing, Earnings Management, Governance (8 papers), Monetary Policy and Economic Impact (8 papers) and Forecasting Techniques and Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (642 citations), Finance (295 citations), Economics and Econometrics (431 citations), Accounting (175 citations) and Human-Computer Interaction (84 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, James Lin, Chia‐Mei Lu, Chiao Ling Huang, Kuang‐Fu Cheng, Chia-Hsun Chiang and Pi‐Hsia Hung. Their work appears in journals such as Journal of Banking & Finance, Computers & Operations Research, International Review of Economics & Finance, The North American Journal of Economics and Finance 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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