Mei‐Chen Lin

1.9k citations
69 papers · 1.2k · h-index 15

Impact in

Papers in

    • Financial Markets and Investment Strategies 26
    • Corporate Finance and Governance 13
    • Auditing, Earnings Management, Governance 11

Mei‐Chen Lin

58 papers receiving 1.1k citations

Peers

Mei‐Chen Lin
Comparison fields: 5 of 108
  • Neuropsychology and Physiological Psychology 64
  • Communication 236
  • Sociology and Political Science 560
  • Finance 125
  • General Energy 12
Replace Steffanie L. Wilk with:
Steffanie L. Wilk United States
Torsten Biemann Germany
Jodi S. Goodman United States
Sherry J. Holladay United States
Roseanne J. Foti United States
Stijn Baert Belgium
Yuliya Komarova Loureiro United States
Scott A. Hawkins Canada
Daniel Fernandes Portugal
Rajan Nataraajan United States
Mei‐Chen Lin relative to Steffanie L. Wilk United States Steffanie L. Wilk's profile →
Citations per field
00.5×8.3×
Steffanie L. Wilk · 1×
Citations per year

Countries citing papers authored by Mei‐Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004317
2 2005251
3 200085
4 200780
5 200037
6 201336
7 201830
8 201423
9 201322
10 201622
11 202020
12 201920
13
The Pitfall of Using Sharpe Ratio
200316
14 202315
15 200815
16 201814
17 200313
18 202012
19 201211
20 200911

About Mei‐Chen Lin

Mei‐Chen Lin is a scholar working on Finance, Accounting, Economics and Econometrics, Sociology and Political Science and Social Psychology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (26 papers), Corporate Finance and Governance (13 papers), Auditing, Earnings Management, Governance (11 papers), Social Media and Politics (5 papers), Aging and Gerontology Research (5 papers), Market Dynamics and Volatility (5 papers), Stock Market Forecasting Methods (4 papers) and Social and Intergroup Psychology (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (64 citations), Communication (236 citations), Sociology and Political Science (560 citations), Finance (125 citations) and General Energy (12 citations). Mei‐Chen Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yan Bing Zhang, Nancy K. Baym, Khisu Beom, Akihiko Nonaka, Jake Harwood, Mei-Mei Chang, Tai‐Hsi Wu, Adrianne Kunkel, Andrew M. Ledbetter and Howard Giles. Their work appears in journals such as International Review of Financial Analysis, Asia Pacific Management Review, Mass Communication & Society, Computers & Education and Pacific-Basin Finance Journal.

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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