Mei-Se Chien

1.3k citations
21 papers · 964 indexed · 1 hit paper · h-index 12
Topics
Monetary Policy and Economic Impact (13 papers)Housing Market and Economics (11 papers)Market Dynamics and Volatility (5 papers)
Partner nations
TaiwanIndonesiaJapan

In The Last Decade

Mei-Se Chien

21 papers receiving 907 citations

Hit Papers

ICT diffusion, financial development, and economic growth...20202026202220242020100200300

Peers

Mei-Se Chien
Comparison fields: 5 of 61
  • Economics and Econometrics 811
  • General Economics, Econometrics and Finance 192
  • Information Systems 167
  • Finance 155
  • Sociology and Political Science 147
Replace Peter Josef Stauvermann with:
Peter Josef Stauvermann South Korea
Chandan Sharma India
Neville R. Norman Australia
Badri Narayan Rath India
Fengxiu Zhou China
Sahar Bahmani United States
Ranjan Kumar Dash India
Désiré Avom Cameroon
Hazwan Haini Brunei
Suling Feng China
Mei-Se Chien relative to Peter Josef Stauvermann South Korea Peter Josef Stauvermann's profile →
Citations per field
00.5×1.5×1.9×
Peter Josef Stauvermann · 1×
Citations per year

Countries citing papers authored by Mei-Se Chien

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Se Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Se Chien. 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-Se Chien. The network helps show where Mei-Se Chien may publish in the future.

Co-authorship network of co-authors of Mei-Se Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Se Chien. A scholar is included among the top collaborators of Mei-Se Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei-Se Chien. Mei-Se Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 13
5
ICT diffusion, financial development, and economic growth: An international cross-country analysisbreakdown →
309
6 58
7 11
8 3
9 2
10 19
11 91
12 1
13 62
14 64
15 16
16 90
17
The Impact of Monetary Policy and Bonds Supply on Real Estate Prices: An Empirical Study
1
18 18
19 64
20 132

About Mei-Se Chien

Mei-Se Chien is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 21 papers that have together received 964 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (13 papers), Housing Market and Economics (11 papers) and Market Dynamics and Volatility (5 papers). The work is most often cited by research in Economics and Econometrics (811 citations), General Economics, Econometrics and Finance (192 citations) and Finance (155 citations). Mei-Se Chien has collaborated with scholars based in Taiwan, Indonesia and Japan. Frequent co-authors include Chien‐Chiang Lee, Chih‐Yang Cheng, Huiting Hu, Pei‐Fen Chen, Shubing Liu, Yi‐Chung Hsu and Yu-Ting Cheng. Their work appears in journals such as Energy Economics, Urban Studies and Resources Policy.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026