Pin Luarn

4.6k total citations · 2 hit papers
48 papers, 3.4k citations indexed

About

Pin Luarn is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Pin Luarn has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 12 papers in Information Systems and Management and 10 papers in Marketing. Recurrent topics in Pin Luarn's work include Digital Marketing and Social Media (22 papers), Technology Adoption and User Behaviour (12 papers) and Customer Service Quality and Loyalty (9 papers). Pin Luarn is often cited by papers focused on Digital Marketing and Social Media (22 papers), Technology Adoption and User Behaviour (12 papers) and Customer Service Quality and Loyalty (9 papers). Pin Luarn collaborates with scholars based in Taiwan. Pin Luarn's co-authors include Hsin‐Hui Lin, Yu‐Ping Chiu, Yi‐Shun Wang, Chao-Tang Tseng, Ching‐Jong Liao, Tom M.Y. Lin, Hsi‐Peng Lu, Yun Huang, Tainyi Luor and Pei‐Shan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Technological Forecasting and Social Change.

In The Last Decade

Pin Luarn

45 papers receiving 3.0k citations

Hit Papers

Toward an understanding of the behavioral intention to us... 2004 2026 2011 2018 2004 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pin Luarn Taiwan 17 2.0k 1.8k 854 771 355 48 3.4k
Teck-Soon Hew Malaysia 28 2.0k 1.0× 1.7k 0.9× 519 0.6× 1.0k 1.3× 517 1.5× 31 3.6k
Kun Chang Lee South Korea 32 1.2k 0.6× 1.3k 0.7× 756 0.9× 710 0.9× 623 1.8× 182 4.2k
Chun‐Ming Chang Taiwan 23 1.7k 0.9× 2.1k 1.2× 898 1.1× 842 1.1× 287 0.8× 63 4.3k
Wen‐Lung Shiau Taiwan 24 1.3k 0.7× 1.4k 0.8× 484 0.6× 678 0.9× 280 0.8× 70 3.0k
Abdullah M. Baabdullah Saudi Arabia 29 1.7k 0.8× 1.7k 0.9× 536 0.6× 986 1.3× 483 1.4× 49 3.8k
Ing‐Long Wu Taiwan 24 1.4k 0.7× 1.1k 0.6× 629 0.7× 868 1.1× 928 2.6× 41 3.4k
Lai-Ying Leong Malaysia 33 2.3k 1.1× 2.3k 1.3× 595 0.7× 1.5k 2.0× 764 2.2× 45 4.9k
Shu-Ching Wang Taiwan 14 1.9k 0.9× 1.6k 0.9× 473 0.6× 558 0.7× 269 0.8× 72 3.2k
Iris Junglas United States 28 1.0k 0.5× 1.3k 0.7× 363 0.4× 376 0.5× 344 1.0× 77 2.8k
Jun-Jie Hew Malaysia 28 1.8k 0.9× 1.9k 1.1× 384 0.4× 1.2k 1.5× 549 1.5× 41 3.9k

Countries citing papers authored by Pin Luarn

Since Specialization
Citations

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

Fields of papers citing papers by Pin Luarn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin Luarn. 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 Pin Luarn. The network helps show where Pin Luarn may publish in the future.

Co-authorship network of co-authors of Pin Luarn

This figure shows the co-authorship network connecting the top 25 collaborators of Pin Luarn. A scholar is included among the top collaborators of Pin Luarn 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 Pin Luarn. Pin Luarn 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.
Luarn, Pin, et al.. (2025). Color recognition-based computer vision technology refines traditional manufacturing factory processes. Measurement Science and Technology. 36(4). 46007–46007.
2.
Luarn, Pin, et al.. (2024). Color congruence on Instagram: the role of flow and aesthetic experience. Asia Pacific Journal of Marketing and Logistics. 36(10). 2448–2463. 3 indexed citations
3.
Luarn, Pin, et al.. (2023). A study on EMBA students’ cognitive and decision-making models in learning through play. The International Journal of Management Education. 21(1). 100765–100765. 1 indexed citations
4.
Luarn, Pin, et al.. (2023). Enhancing intrinsic learning motivation through gamification: a self-determination theory perspective. International Journal of Information and Learning Technology. 40(5). 413–424. 43 indexed citations
5.
Luarn, Pin, et al.. (2023). The Influence of Gamification Elements in Educational Environments. International Journal of Game-Based Learning. 13(1). 1–12. 2 indexed citations
6.
Luarn, Pin, et al.. (2022). Have you spotted where I am Exploring the impact of different forms of native advertising. International Journal of Mobile Communications. 1(1). 1–1. 1 indexed citations
7.
Luarn, Pin, et al.. (2018). Value Co-creation of Xiaomi in China. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Yu, Vincent F., et al.. (2016). Construction Contractor Selection in Taiwan Using AHP. International Journal of Engineering and Technology. 9(3). 211–215. 16 indexed citations
9.
Luarn, Pin, et al.. (2016). Creating an invalid defect classification model using text mining on server development. Journal of Systems and Software. 125. 197–206. 5 indexed citations
10.
Luarn, Pin, Peng Huang, Yu‐Ping Chiu, & I‐Jen Chen. (2015). Motivations to engage in word-of-mouth behavior on social network sites. Information Development. 32(4). 1253–1265. 23 indexed citations
11.
Luarn, Pin. (2015). SOCIAL SUPPORT ON FACEBOOK: THE INFLUENCE OF TIE STRENGTH AND GENDER DIFFERENCES. International Journal of Electronic Commerce Studies. 6(1). 37–50. 17 indexed citations
12.
Lin, Tom M.Y., et al.. (2014). The effects of word‐of‐mouth consistency on persuasiveness. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. 31(2). 128–141. 13 indexed citations
13.
Luarn, Pin, et al.. (2014). Contractor Prequalification in Taiwan. Advanced materials research. 905. 742–747.
14.
Luarn, Pin & Yu‐Ping Chiu. (2014). Influence of network density on information diffusion on social network sites. Information Development. 32(3). 389–397. 20 indexed citations
15.
Luarn, Pin, et al.. (2009). Factors Influencing Government Employee Performance via Information Systems Use: an Empirical Study. 7(3). 11 indexed citations
16.
Luarn, Pin, et al.. (2007). Critical success factors in introducing e-learning. International Journal of Information Technology and Management. 6(2/3/4). 209–209. 1 indexed citations
17.
Wang, Yi‐Shun, Hsin‐Hui Lin, & Pin Luarn. (2006). Predicting consumer intention to use mobile service. Information Systems Journal. 16(2). 157–179. 479 indexed citations
18.
Luarn, Pin & Hsin‐Hui Lin. (2004). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior. 21(6). 873–891. 1431 indexed citations breakdown →
19.
Lin, Tom M.Y., et al.. (2004). Internet market segmentation – an exploratory study of critical success factors. Marketing Intelligence & Planning. 22(6). 601–622. 12 indexed citations
20.
Luarn, Pin & Hsin‐Hui Lin. (2003). A Customer Loyalty Model for E-Service Context.. Journal of electronic commerce research. 4. 156–167. 291 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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