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.
A scalable approach to attack graph generation
2006368 citationsXinming Ou, Wayne F. Boyer et al.profile →
Amandroid
2014299 citationsFengguo Wei, Sankardas Roy et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of Xinming Ou'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 Xinming Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinming Ou more than expected).
This network shows the impact of papers produced by Xinming Ou. 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 Xinming Ou. The network helps show where Xinming Ou may publish in the future.
Co-authorship network of co-authors of Xinming Ou
This figure shows the co-authorship network connecting the top 25 collaborators of Xinming Ou.
A scholar is included among the top collaborators of Xinming Ou 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 Xinming Ou. Xinming Ou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lende, Daniel H., et al.. (2021). An Analysis of the Role of Situated Learning in Starting a Security Culture in a Software Company. Symposium On Usable Privacy and Security. 617–632.5 indexed citations
5.
Lende, Daniel H., et al.. (2020). An Ethnographic Understanding of Software (In)Security and a Co-Creation Model to Improve Secure Software Development. Symposium On Usable Privacy and Security. 205–220.9 indexed citations
6.
Wei, Fengguo, Sankardas Roy, Xinming Ou, & Robby. (2018). Amandroid. ACM Transactions on Privacy and Security. 21(3). 1–32.93 indexed citations
McHugh, John, et al.. (2016). Turning Contradictions into Innovations or: How We Learned to Stop Whining and Improve Security Operations. Symposium On Usable Privacy and Security. 237–251.30 indexed citations
9.
Bardas, Alexandru G., et al.. (2015). A Human Capital Model for Mitigating Security Analyst Burnout. Symposium On Usable Privacy and Security. 347–359.37 indexed citations
10.
Fernandes, Earlence, et al.. (2015). Practical always-on taint tracking on mobile devices. 29–29.7 indexed citations
Bardas, Alexandru G., et al.. (2014). Compiling abstract specifications into concrete systems: bringing order to the cloud. USENIX Large Installation Systems Administration Conference. 17–33.4 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.