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.
Shopping motivations on Internet: A study based on utilitarian and hedonic value
2007562 citationsPui‐Lai To, Chechen Liao et al.Technovationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Pui‐Lai To'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 Pui‐Lai To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pui‐Lai To more than expected).
This network shows the impact of papers produced by Pui‐Lai To. 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 Pui‐Lai To. The network helps show where Pui‐Lai To may publish in the future.
Co-authorship network of co-authors of Pui‐Lai To
This figure shows the co-authorship network connecting the top 25 collaborators of Pui‐Lai To.
A scholar is included among the top collaborators of Pui‐Lai To 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 Pui‐Lai To. Pui‐Lai To is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
18 of 18 papers shown
1.
Liao, Chechen, et al.. (2017). Factors driving digital music purchases. Social Behavior and Personality An International Journal. 45(4). 583–598.1 indexed citations
2.
Liao, Chechen, et al.. (2016). The Impact of Presentation Mode and Product Type on Online Impulse Buying Decisions. Journal of electronic commerce research. 17(2). 153.63 indexed citations
Liao, Chechen, Pui‐Lai To, & Chuang‐Chun Liu. (2013). A motivational model of blog usage. Online Information Review. 37(4). 620–637.20 indexed citations
Liao, Chechen, Yuping Liu, Pui‐Lai To, & Tzu-Ling Lin. (2009). Understanding the Intention of Giving Information in Virtual Communities. Journal of the Association for Information Systems. 464.3 indexed citations
12.
Liao, Chechen, et al.. (2009). An Empirical Study of Factors Influencing the Adoption of Internet Banking. Journal of the Association for Information Systems. 753.5 indexed citations
13.
To, Pui‐Lai, et al.. (2008). ONLINE AUCTION EFFECTIVENESS: OPTIMAL SELLING STRATEGIES FOR ONLINE AUCTION MARKET. Journal of the Association for Information Systems. 123.3 indexed citations
14.
Liu, Chuang‐Chun, et al.. (2008). Physical or Digital? Factors Drive Consumers to Purchase Digital Music. Journal of the Association for Information Systems. 121.2 indexed citations
15.
To, Pui‐Lai, et al.. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation. 27(12). 774–787.562 indexed citations breakdown →
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.