Chien‐Hsin Lin

1.9k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Chien‐Hsin Lin is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Information Systems and Management. According to data from OpenAlex, Chien‐Hsin Lin has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 10 papers in Organizational Behavior and Human Resource Management and 7 papers in Information Systems and Management. Recurrent topics in Chien‐Hsin Lin's work include Digital Marketing and Social Media (10 papers), Customer Service Quality and Loyalty (8 papers) and Technology Adoption and User Behaviour (7 papers). Chien‐Hsin Lin is often cited by papers focused on Digital Marketing and Social Media (10 papers), Customer Service Quality and Loyalty (8 papers) and Technology Adoption and User Behaviour (7 papers). Chien‐Hsin Lin collaborates with scholars based in Taiwan, Australia and Canada. Chien‐Hsin Lin's co-authors include Peter J. Sher, Hsin‐Yu Shih, Wei-Li Wu, Ryh-Song Yeh, Biing-Feng Wang, Ying‐Ching Lin, Wen‐Hung Chung, Hsin‐Chou Yang, Cathy S.J. Fann and Wen‐Harn Pan and has published in prestigious journals such as Tourism Management, Psychology and Marketing and International Journal of Service Industry Management.

In The Last Decade

Chien‐Hsin Lin

28 papers receiving 1.3k citations

Hit Papers

Integrating technology readiness into technology acceptan... 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Integrating technology readiness into technology acceptance: The TRAM model
    2007 586 citations Chien‐Hsin Lin, Hsin‐Yu Shih et al. Psychology and Marketing profile →

Peers

Chien‐Hsin Lin
Eleanor T. Loiacono United States
Yu‐Qian Zhu Taiwan
Hung‐Pin Shih Taiwan
Félix A. Martín‐Velicia Spain
Sandeep Krishnamurthy United States
Chun‐Hua Hsiao Taiwan
Wanda J. Smith United States
Manuel J. Sánchez‐Franco Spain
Houn‐Gee Chen Taiwan
Songpol Kulviwat United States
Eleanor T. Loiacono United States
Chien‐Hsin Lin
Citations per year, relative to Chien‐Hsin Lin Chien‐Hsin Lin (= 1×) peers Eleanor T. Loiacono

Countries citing papers authored by Chien‐Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Hsin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hsin Lin. A scholar is included among the top collaborators of Chien‐Hsin 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 Chien‐Hsin Lin. Chien‐Hsin 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.
Lin, Chien‐Hsin, et al.. (2015). A Principal-Agent Explanation for Technology Transfer. 6(2). 26–44. 1 indexed citations
2.
Wang, Biing-Feng, et al.. (2014). Constructing a Gene Team Tree in Almost <formula formulatype="inline"><tex Notation="TeX">$O$</tex></formula><formula formulatype="inline"><tex Notation="TeX">$(n\; {\rm lg}\; n)$</tex></formula> Time. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(1). 142–153. 2 indexed citations
3.
Lin, Chien‐Hsin, et al.. (2013). Escalation of Loyalty and the Decreasing Impact of Perceived Value and Satisfaction over Time. Journal of electronic commerce research. 14(4). 348. 16 indexed citations
4.
Bhattacharya, Binay, et al.. (2012). Efficient algorithms for the conditional covering problem. Information and Computation. 219. 39–57. 1 indexed citations
5.
6.
Lin, Chien‐Hsin, et al.. (2011). A STUDY OF A HEURISTIC CAPACITY PLANNING ALGORITHM FOR WEAPON PRODUCTION SYSTEM. Int. J. Electron. Bus. Manag.. 9. 46–57. 1 indexed citations
7.
Lin, Chien‐Hsin, et al.. (2011). The potential paradox of endorsers exterior traits: Worship at what cost?. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 5(13). 5092–5099. 1 indexed citations
8.
Wang, Biing-Feng, et al.. (2011). A New Efficient Algorithm for the Gene-Team Problem on General Sequences. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(2). 330–344. 4 indexed citations
9.
Lin, Chien‐Hsin, et al.. (2010). Improved algorithms for finding length-bounded two vertex-disjoint paths in a planar graph and minmax k vertex-disjoint paths in a directed acyclic graph. Journal of Computer and System Sciences. 76(8). 697–708. 4 indexed citations
10.
Wang, Biing-Feng & Chien‐Hsin Lin. (2010). Improved Algorithms for Finding Gene Teams and Constructing Gene Team Trees. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(5). 1258–1272. 9 indexed citations
11.
Lin, Chien‐Hsin, et al.. (2009). The effects of parental monitoring and leisure boredom on adolescents' Internet addiction.. PubMed. 44(176). 993–1004. 170 indexed citations
12.
Lin, Chien‐Hsin. (2009). The effects of utilitarian shopping and technology belief on perceived E-Service value. 17. 2940–2942. 1 indexed citations
13.
Chen, Kou-Huang, et al.. (2008). Based on SCOR Model to Structure a Defense System of Collaborative Logistics Management. 29(6). 491–496. 1 indexed citations
14.
Lin, Chien‐Hsin. (2007). The Effects of Technology Readiness on the Formation of E-Service Value. 1811–1817. 1 indexed citations
15.
Lin, Chien‐Hsin, Hsin‐Yu Shih, & Peter J. Sher. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology and Marketing. 24(7). 641–657. 586 indexed citations breakdown →
16.
Lin, Chien‐Hsin, Hsin‐Yu Shih, Peter J. Sher, & Ying‐Ching Lin. (2006). E-Service Value: Moderating Roles of Consumer Knowledge and Risk Perceptions. 8(4). 447–467.
17.
Yang, Hsin‐Chou, Chien‐Hsin Lin, Wen‐Hung Chung, et al.. (2006). A comparison of major histocompatibility complex SNPs in Han Chinese residing in Taiwan and Caucasians. Journal of Biomedical Science. 13(4). 489–498. 49 indexed citations
18.
Sher, Peter J. & Chien‐Hsin Lin. (2006). Small and Medium-Sized Enterprises' Performance: Network and Absorptive Capacity Perspectives. 345–349. 1 indexed citations
19.
20.
Lin, Chien‐Hsin, Peter J. Sher, & Hsin‐Yu Shih. (2005). Past progress and future directions in conceptualizing customer perceived value. International Journal of Service Industry Management. 16(4). 318–336. 285 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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