Mei‐Ping Chen
Impact in
- Finance top 2%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Economics and Econometrics top 1%
- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
- COVID-19 Pandemic Impacts
Papers in
-
- Market Dynamics and Volatility 19
- Energy, Environment, Economic Growth 8
- Climate Change Policy and Economics 3
- Finance 21
- Financial Markets and Investment Strategies 15
- Financial Risk and Volatility Modeling 6
- Co-authors
- Chien‐Chiang Lee (28 shared papers)Pei‐Fen Chen (3 shared papers)Wen‐Yi Chen (4 shared papers)Wenwu Xing (2 shared papers)Chi-Hung Chang (4 shared papers)Zihao Yuan (1 shared paper)Wei Xu (1 shared paper)Yi‐Chung Hsu (2 shared papers)
In The Last Decade
Mei‐Ping Chen
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Finance 320
- Economics and Econometrics 705
- Accounting 135
- General Energy 11
- General Economics, Econometrics and Finance 82
Countries citing papers authored by Mei‐Ping Chen
This map shows the geographic impact of Mei‐Ping 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 Mei‐Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Ping Chen more than expected).
Fields of papers citing papers by Mei‐Ping Chen
This network shows the impact of papers produced by Mei‐Ping 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 Mei‐Ping Chen. The network helps show where Mei‐Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei‐Ping Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2020 | 95 | |
| 3 | 2020 | 84 | |
| 4 | 2012 | 82 | |
| 5 | 2013 | 69 | |
| 6 | 2021 | 63 | |
| 7 | 2019 | 52 | |
| 8 | 2020 | 50 | |
| 9 | 2019 | 48 | |
| 10 | 2023 | 37 | |
| 11 | 2014 | 37 | |
| 12 | 2023 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2017 | 28 | |
| 16 | 2013 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 17 |
About Mei‐Ping Chen
Mei‐Ping Chen is a scholar working on Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Sociology and Political Science and Accounting, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (19 papers), Financial Markets and Investment Strategies (15 papers), Monetary Policy and Economic Impact (9 papers), Energy, Environment, Economic Growth (8 papers), Financial Risk and Volatility Modeling (6 papers), Diverse Aspects of Tourism Research (5 papers), Corporate Finance and Governance (4 papers) and Climate Change Policy and Economics (3 papers). The work is most often cited by research in Finance (320 citations), Economics and Econometrics (705 citations), Accounting (135 citations), General Energy (11 citations) and General Economics, Econometrics and Finance (82 citations). Mei‐Ping Chen has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Chien‐Chiang Lee, Pei‐Fen Chen, Wen‐Yi Chen, Wenwu Xing, Chi-Hung Chang, Zihao Yuan, Wei Xu, Yi‐Chung Hsu, Muen Han and Chi‐Chuan Lee. Their work appears in journals such as The North American Journal of Economics and Finance, Economic Modelling, Fibers and Polymers, International Review of Economics & Finance and Tourism Economics.
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.