Yu‐Lun Chen

944 citations
40 papers · 684 · h-index 12

Impact in

Papers in

    • Market Dynamics and Volatility 25
    • Complex Systems and Time Series Analysis 3
    • Financial Markets and Investment Strategies 20
    • Financial Risk and Volatility Modeling 5

Yu‐Lun Chen

37 papers receiving 664 citations

Peers

Yu‐Lun Chen
Comparison fields: 5 of 80
  • Finance 310
  • General Economics, Econometrics and Finance 146
  • Economics and Econometrics 383
  • Polymers and Plastics 128
  • Accounting 98
Replace Chao Jiang with:
Chao Jiang China
Gaofeng Zou China
Jie Mao China
Jamal Ibrahim Haidar United States
Minyi Dong China
Jialin Zhao China
Jakub Kubiczek Poland
Yunxiao Liu China
Xinyue Wang China
Yu‐Lun Chen relative to Chao Jiang China Chao Jiang's profile →
Citations per field
00.5×10×14.6×
Chao Jiang · 1×
Citations per year

Countries citing papers authored by Yu‐Lun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Lun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Lun 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 Yu‐Lun Chen. The network helps show where Yu‐Lun Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu‐Lun 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 Yu‐Lun Chen Line = papers co-authored together Yu‐Lun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010148
2 2005130
3 201358
4 200849
5 201742
6 201941
7 201541
8 201319
9 201519
10 201415
11 202113
12 202311
13 202311
14 201510
15 20219
16 20229
17 20198
18 20067
19 20236
20 20226

About Yu‐Lun Chen

Yu‐Lun Chen is a scholar working on Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Information Systems and Accounting, having authored 40 papers that have together received 684 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (25 papers), Financial Markets and Investment Strategies (20 papers), Monetary Policy and Economic Impact (17 papers), Financial Risk and Volatility Modeling (5 papers), Blockchain Technology Applications and Security (4 papers), Corporate Finance and Governance (3 papers), Complex Systems and Time Series Analysis (3 papers) and Risk Management in Financial Firms (2 papers). The work is most often cited by research in Finance (310 citations), General Economics, Econometrics and Finance (146 citations), Economics and Econometrics (383 citations), Polymers and Plastics (128 citations) and Accounting (98 citations). Yu‐Lun Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Yin‐Feng Gau, Fang‐Chyou Chiu, Sun‐Mou Lai, Wei‐Che Tsai, J. Jimmy Yang, Robin K. Chou, Chang-Jung Sun, Tai‐Hsin Huang, Ke Xu and Tzi‐Yi Wu. Their work appears in journals such as Journal of Futures Markets, Journal of Banking & Finance, International Review of Financial Analysis, Journal of Empirical Finance and Review of Quantitative Finance and Accounting.

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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