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.
Trust In and Adoption of Online Recommendation Agents
2005613 citationsIzak Benbasat, Weiquan WangJournal of the Association for Information Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Weiquan Wang'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 Weiquan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiquan Wang more than expected).
This network shows the impact of papers produced by Weiquan Wang. 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 Weiquan Wang. The network helps show where Weiquan Wang may publish in the future.
Co-authorship network of co-authors of Weiquan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weiquan Wang.
A scholar is included among the top collaborators of Weiquan Wang 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 Weiquan Wang. Weiquan Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Jingzhi, Weiquan Wang, Lara Khansa, & Sung Hoon Kim. (2018). ACTUAL PRIVACY SELF-DISCLOSURE ON ONLINE SOCIAL NETWORK SITES: REFLECTIVE-IMPULSIVE MODEL. Journal of the Association for Information Systems. 117.
11.
Liu, Fei, Eric T.K. Lim, Chee‐Wee Tan, & Weiquan Wang. (2017). Uncovering the Boundary-spanning Role of Information Systems Research in Trans-Disciplinary Knowledge Advancement. Journal of the Association for Information Systems. 4483–4502.1 indexed citations
12.
Wang, Weiquan, et al.. (2016). Reducing user avoidance of sponsored search results: The effects of social influence cues. International Conference on Information Systems.1 indexed citations
Li, Yan, et al.. (2013). What accounts for organizations' different usage of B2B e-marketplaces?. Pacific Asia Conference on Information Systems. 220.1 indexed citations
Li, Yan, et al.. (2009). An Investigation into Post-Implementation Success of ERP: An Empirical Study of the Chinese Retail Industry. Journal of the Association for Information Systems. 5270–5280.3 indexed citations
18.
Jiang, Zhenhui, Weiquan Wang, & Izak Benbasat. (2005). Online consumer decision support. Communications of the ACM. 48(9). 93–98.9 indexed citations
19.
Wang, Weiquan & Izak Benbasat. (2004). Trust and TAM for Online Recommendation Agents. Journal of the Association for Information Systems. 244.6 indexed citations
20.
Wang, Weiquan & Izak Benbasat. (2003). An empirical investigation of intelligent agents for e-business customer relationship management: a knowledge management perspective.. European Conference on Information Systems. 2095–2110.5 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.