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.
Future directions for behavioral information security research
This map shows the geographic impact of Qing Hu'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 Qing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Hu more than expected).
This network shows the impact of papers produced by Qing Hu. 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 Qing Hu. The network helps show where Qing Hu may publish in the future.
Co-authorship network of co-authors of Qing Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Hu.
A scholar is included among the top collaborators of Qing Hu 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 Qing Hu. Qing Hu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shao, Zhen, Yuqiang Feng, & Qing Hu. (2013). The impact mechanism of transformational leadership style on exploitative and exploratory learning of ERP systems. Iowa State University Digital Repository (Iowa State University). 120.6 indexed citations
12.
Hu, Qing, Jinghua Xiao, Kang Xie, & Nilesh Saraf. (2011). Antecedents and consequences of trust in supply chain: the role of information technology. Iowa State University Digital Repository (Iowa State University). 42.3 indexed citations
13.
Hu, Qing. (2010). Summarization of underwater acoustic projector technologies. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University.2 indexed citations
14.
Ye, Qiang, Qing Hu, & Yijun Li. (2008). HOW ORGANIZATIONAL CULTURE SHAPES COMPETITIVE STRATEGIES: A COMPARATIVE CASE STUDY OF TWO E-COMMERCE FIRMS IN CHINA. Journal of the Association for Information Systems. 102.11 indexed citations
15.
Behara, Ravi S., et al.. (2007). A System Dynamics Model of Information Security Investments. Journal of the Association for Information Systems. 6(2). 1572–1583.10 indexed citations
16.
Yayla, Ali Alper & Qing Hu. (2007). User Acceptance of E-Commerce Technology: A Meta-Analytic Comparison of Competing Models. Journal of the Association for Information Systems. 179–190.16 indexed citations
17.
Hu, Qing, et al.. (2007). IT Investment Evaluation as a Socio-Political Process: Determinants to Managerial Adoption and Use. Journal of the Association for Information Systems. 1007–1018.2 indexed citations
18.
Saraf, Nilesh, Huigang Liang, Yajiong Xue, & Qing Hu. (2006). The Moderating Role of Absorptive Capacity in the Assimilation of Enterprise Information Systems. Journal of the Association for Information Systems. 155.2 indexed citations
19.
Hu, Qing, et al.. (2004). From Framework to Organization-Specific Process Model for IT Investment Justification and Evaluation: An Experience of Action Research. Journal of the Association for Information Systems. 28.2 indexed citations
20.
Hu, Qing, et al.. (2003). Information intensity and the impact of IT investments on productivity: an industry level perspective.. European Conference on Information Systems. 822–832.6 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.