Yao-Chin Lin

19 total papers · 483 total citations
14 papers, 279 citations indexed

About

Yao-Chin Lin is a scholar working on Sociology and Political Science, Information Systems and Management and Management of Technology and Innovation. According to data from OpenAlex, Yao-Chin Lin has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Information Systems and Management and 5 papers in Management of Technology and Innovation. Recurrent topics in Yao-Chin Lin's work include Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (5 papers) and Entrepreneurship Studies and Influences (4 papers). Yao-Chin Lin is often cited by papers focused on Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (5 papers) and Entrepreneurship Studies and Influences (4 papers). Yao-Chin Lin collaborates with scholars based in Taiwan, United States and China. Yao-Chin Lin's co-authors include Wei-Hung Chen, Chun-Liang Chen, Houn‐Gee Chen, Yuzhu Li, Kuo‐Chung Chang, Shi Chen and Yifan Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Information and Software Technology.

In The Last Decade

Yao-Chin Lin

11 papers receiving 261 citations

Hit Papers

Role of Government to Enh... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yao-Chin Lin 88 69 64 63 37 14 279
Amarpreet Singh Ghura 120 1.4× 78 1.1× 37 0.6× 85 1.3× 34 0.9× 15 275
Justyna Dąbrowska 170 1.9× 70 1.0× 44 0.7× 80 1.3× 16 0.4× 18 305
María de las Mercedes de Obesso 74 0.8× 93 1.3× 55 0.9× 47 0.7× 13 0.4× 9 295
Francesco Antonio Perotti 140 1.6× 37 0.5× 60 0.9× 53 0.8× 21 0.6× 13 268
Saša Petković 90 1.0× 80 1.2× 24 0.4× 67 1.1× 23 0.6× 19 260
Tim Heubeck 157 1.8× 39 0.6× 39 0.6× 66 1.0× 21 0.6× 18 256
Hongjuan Tang 130 1.5× 61 0.9× 43 0.7× 50 0.8× 15 0.4× 16 269
Siddhartha Raja 99 1.1× 67 1.0× 37 0.6× 29 0.5× 10 0.3× 19 287
Belén Ribeiro-Navarrete 91 1.0× 78 1.1× 18 0.3× 51 0.8× 20 0.5× 19 281
Amila Pilav-Velić 65 0.7× 46 0.7× 33 0.5× 35 0.6× 14 0.4× 16 212

Countries citing papers authored by Yao-Chin Lin

Since Specialization
Citations

This map shows the geographic impact of Yao-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 Yao-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 Yao-Chin Lin more than expected).

Fields of papers citing papers by Yao-Chin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao-Chin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Chin Lin. A scholar is included among the top collaborators of Yao-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 Yao-Chin Lin. Yao-Chin Lin 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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