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.
Factors influencing people’s continuous watching intention and consumption intention in live streaming
2019255 citationsFangfang Hou, Zhengzhi Guan et al.Internet Researchprofile →
What influences the purchase of virtual gifts in live streaming in China? A cultural context‐sensitive model
2021101 citationsZhengzhi Guan, Fangfang Hou et al.Information Systems Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Boying Li'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 Boying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boying Li more than expected).
This network shows the impact of papers produced by Boying Li. 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 Boying Li. The network helps show where Boying Li may publish in the future.
Co-authorship network of co-authors of Boying Li
This figure shows the co-authorship network connecting the top 25 collaborators of Boying Li.
A scholar is included among the top collaborators of Boying Li 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 Boying Li. Boying Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guan, Zhengzhi, Fangfang Hou, Boying Li, & Alain Yee‐Loong Chong. (2020). UNDERSTANDING THE PURCHASE INTENTION OF VIRTU-AL GIFTS IN LIVE STREAMING: FLOW THEORY AND SWIFT GUANXI. Journal of the Association for Information Systems.3 indexed citations
13.
Hou, Fangfang, et al.. (2020). Understanding Purchase Intention in E-Commerce Live Streaming: Roles of Relational Benefits, Technological Features and Fan Identity Salience. Journal of the Association for Information Systems. 46.7 indexed citations
14.
Guan, Zhengzhi, Fangfang Hou, Boying Li, Alain Yee‐Loong Chong, & Chee Wei Phang. (2019). What Encourages Purchase of Virtual Gifts in Live Streaming: Cognitive Absorption, Social Experience and Technological Environment. Journal of the Association for Information Systems.3 indexed citations
15.
Li, Boying & Alain Yee‐Loong Chong. (2019). What Influences the Dissemination of Online Rumor Messages: Message Features and Topic-congruence. Journal of the Association for Information Systems.2 indexed citations
16.
Li, Boying, Fangfang Hou, Zhengzhi Guan, & Alain Yee‐Loong Chong. (2019). How Social Experience Encourages Donation Intention to Charitable Crowdfunding Projects on Social Media: Empathy and Personal Impulsiveness. Journal of the Association for Information Systems. 195.1 indexed citations
17.
Hou, Fangfang, Zhengzhi Guan, Boying Li, & Alain Yee‐Loong Chong. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming. Internet Research. 30(1). 141–163.255 indexed citations breakdown →
18.
Li, Boying, Fangfang Hou, Zhengzhi Guan, & Alain Yee‐Loong Chong. (2018). What drives people to purchase virtual gifts in live streaming? The mediating role of flow. Journal of the Association for Information Systems. 239.43 indexed citations
19.
Li, Boying, Fangfang Hou, Zhengzhi Guan, Alain Yee‐Loong Chong, & Xiaodie Pu. (2017). Evaluating Online Review Helpfulness Based on Elaboration Likelihood Model: the Moderating Role of Readability. Journal of the Association for Information Systems. 257.9 indexed citations
20.
Li, Boying, Alain Yee‐Loong Chong, & Eugene Ch’ng. (2015). What Triggers Sharing in Viral Marketing? The Role of Emotion and Social Feature. Journal of the Association for Information Systems. 95.2 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.