Shu‐Chin Lin

2.5k total citations
74 papers, 1.8k citations indexed

About

Shu‐Chin Lin is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Civil and Structural Engineering. According to data from OpenAlex, Shu‐Chin Lin has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Economics and Econometrics, 18 papers in General Economics, Econometrics and Finance and 11 papers in Civil and Structural Engineering. Recurrent topics in Shu‐Chin Lin's work include Fiscal Policy and Economic Growth (11 papers), Economic Growth and Productivity (10 papers) and Economic Growth and Development (10 papers). Shu‐Chin Lin is often cited by papers focused on Fiscal Policy and Economic Growth (11 papers), Economic Growth and Productivity (10 papers) and Economic Growth and Development (10 papers). Shu‐Chin Lin collaborates with scholars based in Taiwan, South Korea and United States. Shu‐Chin Lin's co-authors include Ho‐Chuan Huang, Dong-Hyeon Kim, Dong‐Hyeon Kim, Yu‐Bo Suen, Chia‐Jen Ting, Richard Lin, Dong‐Hyeon Kim, T.Y. Kam, Ping Cheng and T.Y. Kam and has published in prestigious journals such as Nature Genetics, Journal of Materials Science and Journal of Econometrics.

In The Last Decade

Shu‐Chin Lin

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shu‐Chin Lin Taiwan 24 761 575 363 345 313 74 1.8k
Qiang Cui China 33 645 0.8× 205 0.4× 991 2.7× 378 1.1× 126 0.4× 127 2.8k
Jaeha Lee South Korea 23 1.3k 1.7× 96 0.2× 782 2.2× 68 0.2× 57 0.2× 138 2.9k
Andreas Schäfer United Kingdom 21 193 0.3× 109 0.2× 267 0.7× 319 0.9× 69 0.2× 36 2.0k
Patrícia Pereira da Silva Portugal 24 648 0.9× 204 0.4× 30 0.1× 577 1.7× 94 0.3× 80 2.1k
Abdul Khaliq Rasheed Malaysia 15 837 1.1× 416 0.7× 55 0.2× 192 0.6× 260 0.8× 24 2.0k
Ádám Török Hungary 19 121 0.2× 104 0.2× 46 0.1× 102 0.3× 329 1.1× 182 1.6k
Yilong Han China 23 72 0.1× 224 0.4× 38 0.1× 164 0.5× 94 0.3× 77 1.7k
Yi Song China 19 625 0.8× 109 0.2× 42 0.1× 359 1.0× 46 0.1× 87 1.3k
Robert Ulewicz Poland 24 120 0.2× 473 0.8× 30 0.1× 47 0.1× 30 0.1× 119 1.5k
Ting Yue China 24 226 0.3× 90 0.2× 9 0.0× 372 1.1× 115 0.4× 104 2.0k

Countries citing papers authored by Shu‐Chin Lin

Since Specialization
Citations

This map shows the geographic impact of Shu‐Chin Lin'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 Shu‐Chin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Chin Lin more than expected).

Fields of papers citing papers by Shu‐Chin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Chin Lin. 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 Shu‐Chin Lin. The network helps show where Shu‐Chin Lin may publish in the future.

Co-authorship network of co-authors of Shu‐Chin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Chin Lin. A scholar is included among the top collaborators of Shu‐Chin Lin 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 Shu‐Chin Lin. Shu‐Chin Lin 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
1.
Kim, Dong-Hyeon, Peiyao Liu, & Shu‐Chin Lin. (2025). Nonlinearity in the nexus between financial development and wealth inequality. Journal of International Financial Markets Institutions and Money. 99. 102117–102117. 1 indexed citations
2.
Kim, Dong‐Hyeon, Shu‐Chin Lin, & Peiyao Liu. (2025). The distributional consequences of trade openness on financial development. Journal of Comparative Economics. 54(1). 116–146.
3.
Kim, Dong‐Hyeon, et al.. (2025). Financial development and the nexus between inflation and wealth inequality. Journal of Multinational Financial Management. 80. 100922–100922.
4.
Wu, Shang‐Gin, Chao‐Chi Ho, James Chih‐Hsin Yang, et al.. (2024). Atezolizumab, bevacizumab, pemetrexed and platinum for EGFR‐mutant NSCLC patients after EGFR TKI failure: A phase II study with immune cell profile analysis. Clinical and Translational Medicine. 15(1). e70149–e70149. 4 indexed citations
5.
Lin, Shu‐Chin, et al.. (2024). Gradient synchronization for multivariate functional data, with application to brain connectivity. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(3). 694–713. 1 indexed citations
6.
Kim, Dong‐Hyeon, Peiyao Liu, & Shu‐Chin Lin. (2024). Population aging and saving: Evidence from China. Review of Development Economics. 28(4). 1494–1521. 3 indexed citations
7.
Chen, Po-Han, et al.. (2024). Modelling Cutting Temperature and Tool Thermal Error in Dry Cutting under Different Cutting Parameters. Procedia CIRP. 130. 1869–1874. 1 indexed citations
8.
Kim, Dong‐Hyeon & Shu‐Chin Lin. (2023). Income inequality, inflation and financial development. Journal of Empirical Finance. 72. 468–487. 22 indexed citations
9.
Campos, Adrián I., Shinichi Namba, Shu‐Chin Lin, et al.. (2023). Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores. Nature Genetics. 55(10). 1769–1776. 11 indexed citations
10.
Chen, Chia‐Yen, Tzu‐Ting Chen, Yen‐Chen Anne Feng, et al.. (2023). Analysis across Taiwan Biobank, Biobank Japan, and UK Biobank identifies hundreds of novel loci for 36 quantitative traits. Cell Genomics. 3(12). 100436–100436. 26 indexed citations
11.
Yuan, Kai, Ryan J. Longchamps, Antonio F. Pardiñas, et al.. (2023). FINE-MAPPING ACROSS DIVERSE ANCESTRIES DRIVES THE DISCOVERY OF PUTATIVE CAUSAL VARIANTS UNDERLYING HUMAN COMPLEX TRAITS AND DISEASES. European Neuropsychopharmacology. 75. S6–S7. 2 indexed citations
12.
Kim, Dong‐Hyeon & Shu‐Chin Lin. (2022). Trade Openness and Environmental Policy Stringency: Quantile Evidence. Sustainability. 14(6). 3590–3590. 7 indexed citations
13.
Lin, Shu‐Chin, et al.. (2018). Local and global temporal correlations for longitudinal data. Journal of Multivariate Analysis. 167. 1–14. 5 indexed citations
14.
Kim, Dong‐Hyeon & Shu‐Chin Lin. (2015). Natural Resources and Economic Development: New Panel Evidence. Environmental and Resource Economics. 66(2). 363–391. 124 indexed citations
15.
Kim, Dong‐Hyeon & Shu‐Chin Lin. (2012). Inflation and Inflation Volatility Revisited. International Finance. 15(3). 327–345. 19 indexed citations
16.
Kim, Dong‐Hyeon, Shu‐Chin Lin, & Yu‐Bo Suen. (2011). Nonlinearity between Trade Openness and Economic Development. Review of Development Economics. 15(2). 279–292. 50 indexed citations
17.
Grier, Kevin & Shu‐Chin Lin. (2005). Speculative Attacks and Defenses as Wars of Attrition: Theory and an Example. 1 indexed citations
18.
Grier, Kevin & Shu‐Chin Lin. (2005). Do High Interest Rates Deter Speculative Attacks?----Theory and Evidence* by.
19.
Lin, Shu‐Chin, et al.. (1996). Reliability analysis of composite laminates subject to buckling and first-ply failure. International Conference on Computer Aided Design. 1 indexed citations
20.
Lin, Shu‐Chin & Chia‐Jen Ting. (1996). Drill wear monitoring using neural networks. International Journal of Machine Tools and Manufacture. 36(4). 465–475. 63 indexed citations

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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