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.
This map shows the geographic impact of Guangming Cao'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 Guangming Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangming Cao more than expected).
This network shows the impact of papers produced by Guangming Cao. 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 Guangming Cao. The network helps show where Guangming Cao may publish in the future.
Co-authorship network of co-authors of Guangming Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Guangming Cao.
A scholar is included among the top collaborators of Guangming Cao 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 Guangming Cao. Guangming Cao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cao, Guangming, Yanqing Duan, John S. Edwards, & Yogesh K. Dwivedi. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation. 106. 102312–102312.330 indexed citations breakdown →
Cao, Guangming, Yanqing Duan, & Nan Tian. (2019). Improving Strategic Decision-Making through the Use of Business Analytics: A Resource-Based View. Journal of the Association for Information Systems. 4.1 indexed citations
Cao, Guangming, et al.. (2016). STRATEGIC ORIENTATION, TRIADIC STRATEGIC ALIGNMENT AND FIRM PERFORMANCE. University of Bedfordshire Repository (University of Bedfordshire). 228.1 indexed citations
13.
Ma, Junzhang, P. Richard, H. Miao, et al.. (2016). Correlation induced self-doping in the iron-pnictide superconductor Ba2Ti2Fe2As4O. Bulletin of the American Physical Society. 2015.1 indexed citations
14.
Cao, Guangming & Yanqing Duan. (2015). The Affordances of Business Analytics for Strategic Decision-Making and Their Impact on Organisational Performance.. Journal of the Association for Information Systems. 255.11 indexed citations
15.
Cao, Guangming & Yanqing Duan. (2014). A PATH MODEL LINKING BUSINESS ANALYTICS, DATA-DRIVEN CULTURE, AND COMPETITIVE ADVANTAGE. Journal of the Association for Information Systems.27 indexed citations
16.
Duan, Yanqing, et al.. (2013). Big data in higher education: an action research on managing student engagement with business intelligence. University of Bedfordshire Repository (University of Bedfordshire). 40(4). 240–4.5 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.