Been-Lon Chen

829 citations
35 papers · 490 · h-index 12

Impact in

Papers in

Been-Lon Chen

32 papers receiving 450 citations

Peers

Been-Lon Chen
Comparison fields: 5 of 40
  • Economics and Econometrics 444
  • General Economics, Econometrics and Finance 104
  • Accounting 73
  • Gender Studies 43
  • Sociology and Political Science 92
Replace Silvia Del Prete with:
Silvia Del Prete Italy
Jaanika Meriküll Estonia
Daniel C. Giedeman United States
Akira Yakita Japan
Davide Malacrino United States
Tapio Palokangas Finland
Ryan A. Compton Canada
Marina Mendes Tavares United States
Étienne Farvaque France
Henrique S. Basso Spain
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Citations per field
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Citations per year

Countries citing papers authored by Been-Lon Chen

Since Specialization
Citations

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

Fields of papers citing papers by Been-Lon Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Been-Lon 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 Been-Lon Chen. The network helps show where Been-Lon Chen may publish in the future.

Co-authors

The 13 scholars most cited alongside Been-Lon 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 Been-Lon Chen Line = papers co-authored together Been-Lon Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 200379
3 200667
4 199828
5 200723
6 201322
7 200621
8 200619
9
Human Capital, Trade, and Public Policy in Rapidly Growing Economies: From Theory to Empirics
200415
10 201214
11 200714
12 200812
13 201011
14
Trade Openness and Economic Growth: Evidence in East Asia and Latin America
199910
15 20138
16 20147
17 20027
18 19967
19 20087
20 20136

About Been-Lon Chen

Been-Lon Chen is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Gender Studies, Political Science and International Relations and Sociology and Political Science, having authored 35 papers that have together received 490 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (26 papers), Economic theories and models (20 papers), Economic Growth and Productivity (15 papers), Monetary Policy and Economic Impact (7 papers), Economic Theory and Policy (6 papers), Gender, Labor, and Family Dynamics (5 papers), Labor market dynamics and wage inequality (3 papers) and Fiscal Policies and Political Economy (2 papers). The work is most often cited by research in Economics and Econometrics (444 citations), General Economics, Econometrics and Finance (104 citations), Accounting (73 citations), Gender Studies (43 citations) and Sociology and Political Science (92 citations). Been-Lon Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chia‐Hui Lu, Koji Shimomura, Ping Wang, Angus C. Chu, Costas Azariadis, Michele Boldrín, Kazuo Mino, Mei Hua Kerry Hsu, Ping Wang and Shin‐Kun Peng. Their work appears in journals such as Journal of Economic Dynamics and Control, Journal of Economics, Macroeconomic Dynamics, Annals of economics and finance and Journal of money credit and banking.

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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