Yu-Chin Chen

2.4k citations
54 papers · 1.5k indexed · 1 hit paper · h-index 15

Yu-Chin Chen

48 papers receiving 1.4k citations

Hit Papers

Can Exchange Rates Forecast Commodity Prices?*4292010202620152020100200300400

Peers

Yu-Chin Chen
Comparison fields: 5 of 141
  • General Economics, Econometrics and Finance 779
  • Finance 365
  • Economics and Econometrics 883
  • General Energy 17
  • Renewable Energy, Sustainability and the Environment 129
Replace Franck Portier with:
Franck Portier France
Saroj Bhattarai United States
Paul Cook United Kingdom
Haiqi Li China
Shiying Wu China
Francisco Escribano Sotos Spain
Jeffrey Williams United States
David Kiefer Germany
Eleni Kalamara Greece
Yu-Chin Chen relative to Franck Portier France Franck Portier's profile →
Citations per field
00.5×8.5×
Franck Portier · 1×
Citations per year

Countries citing papers authored by Yu-Chin Chen

Since Specialization
Citations

This map shows the geographic impact of Yu-Chin 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-Chin 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-Chin Chen more than expected).

Fields of papers citing papers by Yu-Chin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20241
5 20231
6 20233
7 20234
8 20232
9 20233
10 202330
11 202213
12 202219
13 20221
14 2021154
15 202114
16 20168
17 20056
18 20051
19 200421
20
Local Labor Markets and Increasing Returns to Scale: How Strong is the Evidence?
20010

About Yu-Chin Chen

Yu-Chin Chen is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Molecular Medicine, Finance and Applied Microbiology and Biotechnology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (19 papers), Market Dynamics and Volatility (18 papers), Economic Theory and Policy (5 papers), Antibiotic Resistance in Bacteria (4 papers), Economic theories and models (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Financial Markets and Investment Strategies (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (779 citations), Finance (365 citations), Economics and Econometrics (883 citations), General Energy (17 citations) and Renewable Energy, Sustainability and the Environment (129 citations). Yu-Chin Chen has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Kenneth Rogoff, Barbara Rossi, Tu‐Hsuan Chang, Wei-Yun Hsu, Kwok Ping Tsang, Hauh‐Jyun Candy Chen, Yi-Hsin Chang, Wei‐Yu Chen, Chun‐Yu Chen and Stephen J. Turnovsky. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Microbiology Immunology and Infection, SLEEP, Journal of Infection and Public Health and Chemical Research in Toxicology.

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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2026