Tom M.Y. Lin

1.4k total citations
32 papers, 1.0k citations indexed

About

Tom M.Y. Lin is a scholar working on Sociology and Political Science, Marketing and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Tom M.Y. Lin has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 15 papers in Marketing and 12 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Tom M.Y. Lin's work include Digital Marketing and Social Media (22 papers), Consumer Behavior in Brand Consumption and Identification (12 papers) and Customer Service Quality and Loyalty (12 papers). Tom M.Y. Lin is often cited by papers focused on Digital Marketing and Social Media (22 papers), Consumer Behavior in Brand Consumption and Identification (12 papers) and Customer Service Quality and Loyalty (12 papers). Tom M.Y. Lin collaborates with scholars based in Taiwan, Vietnam and United States. Tom M.Y. Lin's co-authors include Wen-Chin Tsao, Ming-Tsang Hsieh, Pin Luarn, Yun Huang, Bou‐Wen Lin, Weichen Teng, Fangyi Liu, Shu-Hsien Liao, Lien Thi Kim Nguyen and Yun Huang and has published in prestigious journals such as Sustainability, International Journal of Hospitality Management and Industrial Marketing Management.

In The Last Decade

Tom M.Y. Lin

32 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom M.Y. Lin Taiwan 15 674 449 292 267 92 32 1.0k
Hans Risselada Netherlands 11 612 0.9× 469 1.0× 196 0.7× 284 1.1× 94 1.0× 16 978
Joel Mero Finland 15 487 0.7× 401 0.9× 260 0.9× 146 0.5× 105 1.1× 30 914
Victor A. Barger United States 8 587 0.9× 477 1.1× 269 0.9× 184 0.7× 113 1.2× 12 898
Anish Yousaf India 16 574 0.9× 331 0.7× 400 1.4× 128 0.5× 135 1.5× 38 1.0k
Bhasker Mukerji Canada 10 560 0.8× 270 0.6× 411 1.4× 118 0.4× 95 1.0× 16 981
Jonathan Z. Zhang United States 15 463 0.7× 529 1.2× 141 0.5× 231 0.9× 76 0.8× 22 991
Francisco Villarroel Ordenes United States 14 715 1.1× 597 1.3× 179 0.6× 281 1.1× 232 2.5× 16 1.2k
Arghya Ray India 15 633 0.9× 483 1.1× 423 1.4× 202 0.8× 179 1.9× 38 1.1k
Danny Weathers United States 12 452 0.7× 467 1.0× 220 0.8× 184 0.7× 79 0.9× 22 866
Daniel A. Peak United States 15 446 0.7× 349 0.8× 464 1.6× 245 0.9× 74 0.8× 40 972

Countries citing papers authored by Tom M.Y. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tom M.Y. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom M.Y. 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 Tom M.Y. Lin. The network helps show where Tom M.Y. Lin may publish in the future.

Co-authorship network of co-authors of Tom M.Y. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tom M.Y. Lin. A scholar is included among the top collaborators of Tom M.Y. 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 Tom M.Y. Lin. Tom M.Y. 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, Tom M.Y., et al.. (2024). Exploring the impact of AI-translated hotel reviews: the roles of reviewer nationality, cosmopolitanism, and review dispersion. Asia Pacific Journal of Tourism Research. 30(10). 1266–1281. 4 indexed citations
2.
Teng, Weichen, et al.. (2022). Does English proficiency support the economic development of non-English-speaking countries? The case of Asia. International Journal of Educational Development. 92. 102623–102623. 6 indexed citations
3.
Yeh, Ying‐Jung, et al.. (2021). Effects of Luxury Perceptions on Purchase Intention of High-Tech Products. Journal of International Consumer Marketing. 34(2). 168–183. 4 indexed citations
4.
Teng, Weichen, et al.. (2020). Exploration of patriotic brand image: its antecedents and impacts on purchase intentions. Asia Pacific Journal of Marketing and Logistics. 33(6). 1455–1481. 41 indexed citations
5.
Nguyen, Lien Thi Kim, et al.. (2020). Using XGBoost and Skip-Gram Model to Predict Online Review Popularity. SAGE Open. 10(4). 12 indexed citations
6.
Lin, Tom M.Y., et al.. (2017). Knowledge and Anchoring: Verification of Three Circumstances in Which Knowledge Does Not Interfere with Anchoring. Open Journal of Social Sciences. 5(7). 144–164. 1 indexed citations
7.
Lin, Tom M.Y., et al.. (2017). Influence of customer participation on information technology services. Industrial Management & Data Systems. 117(6). 1077–1092. 7 indexed citations
8.
Tsao, Wen-Chin, Ming-Tsang Hsieh, & Tom M.Y. Lin. (2016). Intensifying online loyalty! The power of website quality and the perceived value of consumer/seller relationship. Industrial Management & Data Systems. 116(9). 1987–2010. 84 indexed citations
9.
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
10.
Lin, Tom M.Y., et al.. (2014). Fan-centric social media: The Xiaomi phenomenon in China. Business Horizons. 57(3). 349–358. 45 indexed citations
11.
Liu, Fangyi, et al.. (2013). Understanding the effectiveness of word‐of‐mouth: an elasticity perspective. Journal of Research in Interactive Marketing. 7(1). 57–77. 15 indexed citations
12.
Huang, Yun, et al.. (2012). Judgment criteria for the authenticity of internet book reviews. Library & Information Science Research. 34(2). 150–156. 12 indexed citations
13.
Lin, Tom M.Y., et al.. (2011). Product type and word of mouth: a dyadic perspective. Journal of Research in Interactive Marketing. 5(2/3). 189–202. 30 indexed citations
14.
Lin, Tom M.Y., et al.. (2010). Contributions to Radio Frequency Identification (RFID) research: An assessment of SCI-, SSCI-indexed papers from 2004 to 2008. Decision Support Systems. 50(2). 548–556. 34 indexed citations
15.
Lin, Tom M.Y., et al.. (2010). New high‐tech venturing as process of resource accumulation. Management Decision. 48(8). 1230–1246. 50 indexed citations
16.
Lin, Tom M.Y., et al.. (2009). Relational and transactional factors as hybrid criteria for buyer project selection (BPS): An exploratory study from industrial suppliers' perspective. Industrial Marketing Management. 39(4). 605–615. 10 indexed citations
17.
Lin, Tom M.Y., et al.. (2007). An experimental design approach to investigating the relationship between Internet book reviews and purchase intention. Library & Information Science Research. 29(3). 397–415. 22 indexed citations
18.
Lin, Tom M.Y., et al.. (2006). Why are some e‐mails forwarded and others not?. Internet Research. 16(1). 81–93. 16 indexed citations
19.
Luarn, Pin, et al.. (2005). Non‐enforceable implementation of enterprise mobilization. Industrial Management & Data Systems. 105(6). 786–814. 14 indexed citations
20.
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

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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