Mei-Se Chien

27 total papers · 1.3k total citations
21 papers, 956 citations indexed

About

Mei-Se Chien is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Mei-Se Chien has authored 21 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 13 papers in General Economics, Econometrics and Finance and 3 papers in Finance. Recurrent topics in Mei-Se Chien's work include Monetary Policy and Economic Impact (13 papers), Housing Market and Economics (11 papers) and Market Dynamics and Volatility (5 papers). Mei-Se Chien is often cited by papers focused on Monetary Policy and Economic Impact (13 papers), Housing Market and Economics (11 papers) and Market Dynamics and Volatility (5 papers). Mei-Se Chien collaborates with scholars based in Taiwan, Indonesia and Japan. Mei-Se Chien's co-authors include Chien‐Chiang Lee, Chih‐Yang Cheng, Huiting Hu, Pei‐Fen Chen, Shubing Liu, Yi‐Chung Hsu and Yu-Ting Cheng and has published in prestigious journals such as Energy Economics, Urban Studies and Resources Policy.

In The Last Decade

Mei-Se Chien

20 papers receiving 898 citations

Hit Papers

ICT diffusion, financial ... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mei-Se Chien 807 188 166 153 145 21 956
Neville R. Norman 801 1.0× 181 1.0× 206 1.2× 114 0.7× 42 0.3× 31 1.0k
Hakan Yetkiner 728 0.9× 225 1.2× 138 0.8× 161 1.1× 75 0.5× 32 1.0k
Sara E. Bennett 729 0.9× 73 0.4× 256 1.5× 65 0.4× 42 0.3× 28 985
Michael R.M. Abrigo 547 0.7× 140 0.7× 86 0.5× 144 0.9× 153 1.1× 18 814
Olaniyi Evans 584 0.7× 95 0.5× 238 1.4× 30 0.2× 298 2.1× 42 971
Sahar Bahmani 881 1.1× 326 1.7× 225 1.4× 172 1.1× 56 0.4× 40 1.1k
Fengxiu Zhou 975 1.2× 94 0.5× 40 0.2× 117 0.8× 37 0.3× 25 1.1k
Fuhao Wang 808 1.0× 51 0.3× 120 0.7× 93 0.6× 31 0.2× 16 995
Isaac Appiah‐Otoo 710 0.9× 60 0.3× 218 1.3× 41 0.3× 81 0.6× 34 992
Chandan Sharma 753 0.9× 444 2.4× 96 0.6× 82 0.5× 199 1.4× 72 1.1k

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

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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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