An‐Sing Chen

2.6k citations
57 papers · 1.8k · h-index 18

Impact in

Papers in

An‐Sing Chen

57 papers receiving 1.7k citations

Peers

An‐Sing Chen
Comparison fields: 5 of 128
  • Management Science and Operations Research 911
  • Finance 444
  • Economics and Econometrics 640
  • Accounting 197
  • General Economics, Econometrics and Finance 127
Replace Marcus O’Connor with:
Marcus O’Connor Australia
Shu‐Heng Chen Taiwan
Fred Collopy United States
William Remus United States
Niklas Karlsson Sweden
Mathias Kraus Germany
Soushan Wu Taiwan
Xiaoguang Yang China
Joseph Johnson United States
Martin Spindler Germany
An‐Sing Chen relative to Marcus O’Connor Australia Marcus O’Connor's profile →
Citations per field
00.5×1.5×2.1×
Marcus O’Connor · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002355
2 2000284
3 2000158
4 2019153
5 2003103
6 201377
7 200175
8 200158
9 199949
10 201045
11 201833
12 200432
13 200631
14 201328
15 200524
16 201421
17 201520
18 200318
19 201016
20 201415

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 57 papers that have together received 1.8k 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), Auditing, Earnings Management, Governance (8 papers), Monetary Policy and Economic Impact (8 papers) and Forecasting Techniques and Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (911 citations), Finance (444 citations), Economics and Econometrics (640 citations), Accounting (197 citations) and General Economics, Econometrics and Finance (127 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, James Lin, 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, Quantitative Finance, Finance research letters and Journal of Educational Computing 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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