Ke-young Chu

42 total papers · 1.1k total citations
29 papers, 641 citations indexed

About

Ke-young Chu is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Political Science and International Relations. According to data from OpenAlex, Ke-young Chu has authored 29 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 7 papers in General Economics, Econometrics and Finance and 5 papers in Political Science and International Relations. Recurrent topics in Ke-young Chu's work include Fiscal Policy and Economic Growth (12 papers), Economic Theory and Policy (6 papers) and Income, Poverty, and Inequality (4 papers). Ke-young Chu is often cited by papers focused on Fiscal Policy and Economic Growth (12 papers), Economic Theory and Policy (6 papers) and Income, Poverty, and Inequality (4 papers). Ke-young Chu collaborates with scholars based in United States, Argentina and South Korea. Ke-young Chu's co-authors include Vito Tanzi, Sanjeev Gupta, Hamid Davoodi, Mario I. Bléjer, V. Tanzi, Alberto Alesina, Sanjeev Gupta, Richard Hemming, Sanjeev Gupta and Andrew Feltenstein and has published in prestigious journals such as Journal of Comparative Economics, Journal of Macroeconomics and MOCT-MOST Economic Policy in Transitional Economics.

In The Last Decade

Ke-young Chu

26 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Ke-young Chu 480 236 174 100 69 29 641
Edward Anderson 494 1.0× 322 1.4× 184 1.1× 71 0.7× 96 1.4× 34 769
Surjit S. Bhalla 275 0.6× 322 1.4× 115 0.7× 68 0.7× 88 1.3× 27 714
Santiago Levy 315 0.7× 239 1.0× 154 0.9× 73 0.7× 173 2.5× 38 707
Şule Özler 310 0.6× 190 0.8× 173 1.0× 106 1.1× 51 0.7× 31 639
Ulrich Hiemenz 374 0.8× 334 1.4× 143 0.8× 95 0.9× 39 0.6× 58 700
Eduardo Ortiz-Juárez 314 0.7× 506 2.1× 131 0.8× 87 0.9× 148 2.1× 25 733
Ernesto M. Pernia 299 0.6× 339 1.4× 101 0.6× 90 0.9× 137 2.0× 50 656
Brian McCaig 398 0.8× 155 0.7× 261 1.5× 42 0.4× 42 0.6× 18 583
Gerald Willmann 416 0.9× 144 0.6× 214 1.2× 188 1.9× 28 0.4× 35 609
Evridiki Tsounta 483 1.0× 288 1.2× 215 1.2× 62 0.6× 22 0.3× 25 754

Countries citing papers authored by Ke-young Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ke-young Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke-young Chu. 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 Ke-young Chu. The network helps show where Ke-young Chu may publish in the future.

Co-authorship network of co-authors of Ke-young Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke-young Chu. A scholar is included among the top collaborators of Ke-young Chu 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 Ke-young Chu. Ke-young Chu 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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