Shu‐Chin Lin

2.6k citations
74 papers · 1.8k · h-index 25

Impact in

Papers in

Shu‐Chin Lin

65 papers receiving 1.7k citations

Peers

Shu‐Chin Lin
Comparison fields: 5 of 106
  • General Economics, Econometrics and Finance 368
  • Economics and Econometrics 767
  • Statistics, Probability and Uncertainty 140
  • Mechanical Engineering 574
  • Industrial and Manufacturing Engineering 113
Replace Qiang Cui with:
Qiang Cui China
Jaeha Lee South Korea
Ádám Török Hungary
Stein‐Erik Fleten Norway
Patrick McCarthy United States
Yilong Han China
J.C. Boot United Kingdom
Patrícia Pereira da Silva Portugal
Andreas Schäfer United Kingdom
Emrah Karakaya Sweden
Shu‐Chin Lin relative to Qiang Cui China Qiang Cui's profile →
Citations per field
00.5×6.1×
Qiang Cui · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996178
2 2018135
3 2015125
4 2009110
5 1998101
6 199679
7 199574
8 202067
9 199663
10 200752
11 201151
12 201646
13 199337
14 200037
15 199536
16 199736
17 200036
18 201335
19 201931
20 200030

About Shu‐Chin Lin

Shu‐Chin Lin is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Civil and Structural Engineering, Information Systems and Mechanics of Materials, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (11 papers), Economic Growth and Development (10 papers), Economic Growth and Productivity (10 papers), Probabilistic and Robust Engineering Design (9 papers), Energy, Environment, Economic Growth (9 papers), Income, Poverty, and Inequality (7 papers), Advanced machining processes and optimization (7 papers) and Economic theories and models (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (368 citations), Economics and Econometrics (767 citations), Statistics, Probability and Uncertainty (140 citations), Mechanical Engineering (574 citations) and Industrial and Manufacturing Engineering (113 citations). Shu‐Chin Lin has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Ho‐Chuan Huang, Dong-Hyeon Kim, Yu‐Bo Suen, Dong‐Hyeon Kim, Chia‐Jen Ting, Dong‐Hyeon Kim, Richard Lin, T.Y. Kam, Ping Cheng and T.Y. Kam. Their work appears in journals such as Computers & Structures, International Journal of Machine Tools and Manufacture, Wear, Journal of Comparative Economics and Empirical Economics.

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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